Evidence Based Medicine on FHIR Implementation Guide
1.0.0-ballot - ballot
Evidence Based Medicine on FHIR Implementation Guide
1.0.0-ballot - ballot
Evidence Based Medicine on FHIR Implementation Guide, published by HL7 International / Clinical Decision Support. This guide is not an authorized publication; it is the continuous build for version 1.0.0-ballot built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/ebm/ and changes regularly. See the Directory of published versions
| Active as of 2024-05-16 |
{
"resourceType" : "Evidence",
"id" : "179683",
"meta" : {
"versionId" : "19",
"lastUpdated" : "2024-04-12T08:39:51.683Z",
"profile" : [
🔗 "http://hl7.org/fhir/uv/ebm/StructureDefinition/endpoint-analysis-plan"
]
},
"text" : {
"status" : "extensions",
"div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b>Generated Narrative: Evidence</b><a name=\"179683\"> </a><a name=\"hc179683\"> </a></p><div style=\"display: inline-block; background-color: #d9e0e7; padding: 6px; margin: 4px; border: 1px solid #8da1b4; border-radius: 5px; line-height: 60%\"><p style=\"margin-bottom: 0px\">ResourceEvidence "179683" Version "19" Updated "2024-04-12 08:39:51+0000" </p><p style=\"margin-bottom: 0px\">Profile: <a href=\"StructureDefinition-endpoint-analysis-plan.html\">EndpointAnalysisPlan</a></p></div><p><b>url</b>: <code>https://fevir.net/resources/Evidence/179683</code></p><p><b>identifier</b>: FEvIR Object Identifier/179683</p><p><b>version</b>: 1.0.0-ballot</p><p><b>name</b>: ADAS_Cog11_EndpointAnalysisPlan_from_PHUSE_Lilly_Redacted_Protocol_EBMonFHIR_IG_Version</p><p><b>title</b>: ADAS-Cog(11) EndpointAnalysisPlan from PHUSE Lilly Redacted Protocol - EBMonFHIR IG Version</p><p><b>status</b>: active</p><p><b>date</b>: 2024-05-16 12:17:54+0000</p><p><b>publisher</b>: HL7 International / Clinical Decision Support</p><p><b>contact</b>: HL7 International / Clinical Decision Support: <a href=\"http://www.hl7.org/Special/committees/dss\">http://www.hl7.org/Special/committees/dss</a></p><p><b>author</b>: Brian S. Alper: </p><h3>UseContexts</h3><table class=\"grid\"><tr><td style=\"display: none\">-</td><td><b>Code</b></td><td><b>Value[x]</b></td></tr><tr><td style=\"display: none\">*</td><td>Evidence Communication (Details: Evidence Based Medicine on FHIR Implementation Guide Code System code evidence-communication = 'Evidence Communication', stated as 'Evidence Communication')</td><td>EndpointAnalysisPlan <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-179423.html\">Evidence Based Medicine on FHIR Implementation Guide Code System</a>#EndpointAnalysisPlan)</span></td></tr></table><p><b>copyright</b>: https://creativecommons.org/licenses/by-nc-sa/4.0/</p><h3>RelatedArtifacts</h3><table class=\"grid\"><tr><td style=\"display: none\">-</td><td><b>Type</b></td><td><b>Display</b></td><td><b>Citation</b></td><td><b>ResourceReference</b></td></tr><tr><td style=\"display: none\">*</td><td>cite-as</td><td> </td><td>ADAS-Cog(11) EndpointAnalysisPlan from PHUSE Lilly Redacted Protocol - EBMonFHIR IG Version [Evidence]. Contributors: Brian S. Alper [Authors/Creators]. In: Fast Evidence Interoperability Resources (FEvIR) Platform, FOI 179683. Revised 2023-12-04. Available at: https://fevir.net/resources/Evidence/179683. Computable resource at: https://fevir.net/resources/Evidence/179683.</td><td> </td></tr><tr><td style=\"display: none\">*</td><td>supported-with</td><td>Protocol attachment in associated Evidence Resource</td><td> </td><td><a href=\"Evidence-179691.html\">Evidence/179691: Example EndpointAnalysisPlan from PHUSE Lilly Redacted Protocol - EBMonFHIR IG Version</a> "Example_EndpointAnalysisPlan_from_PHUSE_Lilly_Redacted_Protocol_EBMonFHIR_IG_Version"</td></tr></table><p><b>description</b>: An example of an EndpointAnalysisPlan Profile which uses intended='true' and include-if extensions within Evidence.statistic.modelCharacteristic elements.</p><p><b>note</b>: Approximately 100 patients will be randomized to each of the 3 treatment groups (high dose, low dose, and placebo). Previous experience with the oral formulation of xanomeline suggests that this sample size has 90% power to detect a 3.0 mean treatment difference in ADAS-Cog (p<.05, twosided), based on a standard deviation of 6.5. \n\nGroup mean changes from baseline in the primary efficacy parameters will serve as efficacy criteria.\n\nThe primary analysis of efficacy will include only the data obtained up to and including the visit of discontinuation of study drug. Furthermore, the primary analysis will not include efficacy data obtained at any visit where the study drug was not administered in the preceding three days. Analyses that include the retrieved dropouts are considered secondary. In general, all patients will be included in all analyses of efficacy if they have a baseline measurement and at least one postrandomization measurement.\n\nThe primary analysis of ADAS-Cog (11) and CIBIC+ will be the 24-week endpoint, which is defined for each patient and variable as the last measurement obtained postrandomization (prior to protocol defined reduction in dose). a last-observation-carried-forward (LOCF). Note that the LOCF analysis at 24 weeks is the same as the endpoint analysis described previously. \n\nThe primary method to be used for the primary efficacy variables will be analysis of covariance (ANCOVA). Effects in the ANCOVA model will be the corresponding baseline score, investigator, and treatment. Investigator-by-treatment interaction will be tested in a full model prior to conducting the primary ANCOVA (see description below). Because 3 treatment groups are involved, the primary analysis will be the test for linear dose response in the ANCOVA model described in the preceding paragraph. The result is then a single p-value for ADAS-Cog. \n\nInvestigator-by-treatment interaction will be tested in a full ANCOVA or ANOVA model, which takes the models described above, and adds the interaction term to the model. Interaction will be tested at α = .10 level. When the interaction is significant at this level, the data will be examined for each individual investigator to attempt to identify the source of the significant interaction. When the interaction is not significant, this term will be dropped from the model as described above, to test for investigator and treatment main effects. By doing so, all ANCOVA and ANOVA models will be able to validly test for treatment differences without weighting each investigator equally, which is what occurs when using Type III sums of squares (cell means model) with the interaction term present in the model. This equal weighting of investigators can become a serious problem when sample sizes are dramatically different between investigators. \n\nFor all ANOVA and ANCOVA models, data collected from investigators who enrolled fewer than 3 patients in any one treatment group will be combined prior to analysis. If this combination still results in a treatment group having fewer than 3 patients in any one treatment group, then this group of patients will be combined with the next fewestenrolling investigator. In the event that there is a tie for fewest-enrolling investigator, one of these will be chosen at random by a random-number generator.\n\nThe inherent assumption of normally distributed data will be evaluated by generating output for the residuals from the full ANCOVA and ANOVA models, which include the interaction term, and by testing for normality using the Shapiro-Wilk test from PROC UNIVARIATE. In the event that the data are predominantly nonnormally distributed, analyses will also be conducted on the ranked data. This rank transformation will be applied by ranking all the data for a particular variable, across all investigators and treatments, from lowest to highest. Integer ranks will be assigned starting at 1; mean ranks will be assigned when ties occur. \n\nAll comparisons between xanomeline and placebo with respect to efficacy variables should be one-sided. The null hypothesis is that the drug is equal or worse than placebo. The alternative\nhypothesis is that the drug has greater efficacy than placebo. \n\nDifferent regulatory agencies require different type I error rates. Treatment differences that are significant at the .025 α-level will be declared to be “statistically significant.” When a computed p-value falls between .025 and .05, the differences will be described as “marginally statistically significant.” This approach satisfies regulatory agencies who have accepted a one-sided test at the .05 level, and other regulatory agencies who have requested a two-sided test at the .05 level, or equivalently, a one-sided test at the .025 level. In order to facilitate the review of the final study report, two-sided p-values will be presented in addition to the one-sided p-values.</p><blockquote><p><b>variableDefinition</b></p><p><b>VariableDefinitionVariableRoleCode</b>: exposure</p><p><b>VariableDefinitionComparatorCategory</b>: placebo</p><p><b>description</b>: high dose xanomeline vs. low dose xanomeline vs. placebo</p><p><b>note</b>: exposure</p><p><b>variableRole</b>: Use extension:variableRoleCode instead. <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"http://terminology.hl7.org/5.5.0/CodeSystem-variable-role.html\">EvidenceVariableRole</a>#exposure "exposure")</span></p><p><b>observed</b>: <a href=\"EvidenceVariable-179689.html\">EvidenceVariable/179689: GroupAssignment: high dose xanomeline vs. low dose xanomeline vs. placebo</a> "GroupAssignment_high_dose_xanomeline_vs_low_dose_xanomeline_vs_placebo"</p></blockquote><blockquote><p><b>variableDefinition</b></p><p><b>VariableDefinitionVariableRoleCode</b>: outcome</p><p><b>description</b>: ADAS-Cog(11) at 24 weeks</p><p><b>note</b>: outcome</p><p><b>variableRole</b>: Use extension:variableRoleCode instead. <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"http://terminology.hl7.org/5.5.0/CodeSystem-variable-role.html\">EvidenceVariableRole</a>#measuredVariable "measured variable")</span></p></blockquote><blockquote><p><b>statistic</b></p><p><b>statisticType</b>: (mean treatment difference) <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"http://terminology.hl7.org/5.5.0/CodeSystem-statistic-type.html\">StatisticStatisticType</a>#0000457 "Mean Difference")</span></p><blockquote><p><b>attributeEstimate</b></p><p><b>description</b>: p value for one-sided test</p><p><b>type</b>: p value for one-sided test <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:p-value-one-sided)</span></p></blockquote><blockquote><p><b>attributeEstimate</b></p><p><b>description</b>: p value for two-sided test</p><p><b>type</b>: p value for two-sided test <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:p-value-two-sided)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: In general, all patients will be included in all analyses of efficacy if they have a baseline measurement and at least one postrandomization measurement. <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> ()</span></p><p><b>code</b>: participant inclusion criteria for analysis <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:participant-inclusion-criteria-for-analysis)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: The primary analysis of efficacy will include only the data obtained up to and including the visit of discontinuation of study drug. Furthermore, the primary analysis will not include efficacy data obtained at any visit where the study drug was not administered in the preceding three days. <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-179423.html\">Evidence Based Medicine on FHIR Implementation Guide Code System</a>#defined-in-text "defined in text")</span></p><p><b>code</b>: data inclusion criteria for analysis <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:data-inclusion-criteria-for-analysis)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: single imputation by last-observation-carried-forward (LOCF) <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:single-imputation-by-LOCF)</span></p><p><b>code</b>: handling of missing endpoint data <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:handling-of-missing-endpoint-data)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: The primary analysis of efficacy will include only the data obtained up to and including the visit of discontinuation of study drug. Furthermore, the primary analysis will not include efficacy data obtained at any visit where the study drug was not administered in the preceding three days. Analyses that include the retrieved dropouts are considered secondary. <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-179423.html\">Evidence Based Medicine on FHIR Implementation Guide Code System</a>#defined-in-text "defined in text")</span></p><p><b>code</b>: data inclusion criteria for secondary analysis <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:data-inclusion-criteria-for-secondary-analysis)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>code</b>: one-tailed test <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#STATO:0000286)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueQuantity</b>: 0.025</p><p><b>code</b>: alpha setting <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:0000081)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueRange</b>: 0.025-0.05</p><p><b>code</b>: threshold for marginal statistical significance <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-179423.html\">Evidence Based Medicine on FHIR Implementation Guide Code System</a>#defined-in-text "defined in text")</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: xanomeline is equal or worse than placebo <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-179423.html\">Evidence Based Medicine on FHIR Implementation Guide Code System</a>#defined-in-text "defined in text")</span></p><p><b>code</b>: null hypothesis <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:null-hypothesis)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: xanomeline has greater efficacy than placebo <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-179423.html\">Evidence Based Medicine on FHIR Implementation Guide Code System</a>#defined-in-text "defined in text")</span></p><p><b>code</b>: alternative hypothesis <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:alternative-hypothesis)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: SAS <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-179423.html\">Evidence Based Medicine on FHIR Implementation Guide Code System</a>#defined-in-text "defined in text")</span></p><p><b>code</b>: statistical software package <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:statistical-software-package)</span></p></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>code</b>: Sample Size/Power Calculation ~ 90% power to detect a 3.0 mean treatment difference in ADAS-Cog (p<.05, twosided), based on a standard deviation of 6.5 and sample size of 100 patients in each of 3 groups <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:sample-size "Sample size estimation")</span></p><blockquote><p><b>attributeEstimate</b></p><p><b>description</b>: 90% power</p><p><b>type</b>: power <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:power "Power")</span></p><p><b>quantity</b>: 90 %<span style=\"background: LightGoldenRodYellow\"> (Details: UCUM code % = '%')</span></p></blockquote><blockquote><p><b>attributeEstimate</b></p><p><b>description</b>: minimally detectable threshold value 3.0</p><p><b>type</b>: minimally detectable threshold value <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:checkIfInSTATOtesting-margin "Hypothesis testing margin")</span></p><p><b>quantity</b>: 3</p></blockquote><blockquote><p><b>attributeEstimate</b></p><p><b>description</b>: p<.05</p><p><b>type</b>: alpha setting <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:0000081)</span></p><p><b>quantity</b>: 0.05</p></blockquote><blockquote><p><b>attributeEstimate</b></p><p><b>description</b>: standard deviation of 6.5</p><p><b>type</b>: Standard deviation <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#STATO:0000237)</span></p><p><b>quantity</b>: 6.5</p></blockquote><blockquote><p><b>attributeEstimate</b></p><p><b>description</b>: sample size of 100 patients in each of 3 groups</p><p><b>type</b>: sample size per group <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:sample-size-per-group)</span></p><p><b>quantity</b>: 100</p></blockquote><blockquote><p><b>attributeEstimate</b></p><p><b>description</b>: two-tailed test</p><p><b>type</b>: two-tailed test <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#STATO:0000287)</span></p></blockquote><blockquote><p><b>attributeEstimate</b></p><p><b>description</b>: sample permutation testing - Because there will be roughly 300!/(3 * 100!) possible permutations of the data, random data permutations will be sampled (10,000 random permutations). -- distribution assumption for comparison if random</p><p><b>type</b>: prospective sample permutation testing <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:prospective-sample-permutation-testing)</span></p><blockquote><p><b>attributeEstimate</b></p></blockquote><blockquote><p><b>attributeEstimate</b></p></blockquote></blockquote></blockquote><blockquote><p><b>modelCharacteristic</b></p><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: analysis of covariance (ANCOVA) <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:ANCOVA "ANCOVA")</span></p><p><b>code</b>: Primary analytic method <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:primary-analytic-method "primary analytic method")</span></p><blockquote><p><b>variable</b></p><p><b>variableDefinition</b>: <span>: baseline ADAS-Cog(11) score</span></p><p><b>handling</b>: continuous</p></blockquote><blockquote><p><b>variable</b></p><p><b>variableDefinition</b>: <a href=\"EvidenceVariable-159673.html\">EvidenceVariable/159673: investigator</a> "Investigator"</p><p><b>handling</b>: polychotomous</p></blockquote><blockquote><p><b>variable</b></p><p><b>variableDefinition</b>: <span>: treatment</span></p><p><b>handling</b>: ordinal</p><p><b>valueCategory</b>: high dose xanomeline <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> ()</span>, low dose xanomeline <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> ()</span>, placebo <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> ()</span></p></blockquote><blockquote><p><b>variable</b></p><blockquote><p><b>StatisticModelIncludeIf</b></p><blockquote><p><b>url</b></p><code>attribute</code></blockquote><p><b>value</b>: p value for F test <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> ()</span></p><blockquote><p><b>url</b></p><code>value</code></blockquote><p><b>value</b>: <0.1</p></blockquote><p><b>variableDefinition</b>: <a href=\"EvidenceVariable-156673.html\">EvidenceVariable/156673: Investigator-by-treatment interaction</a> "Investigator_by_treatment_interaction_for_ADAS_Cog11_ANCOVA"</p><p><b>handling</b>: polychotomous</p></blockquote></blockquote><blockquote><p><b>modelCharacteristic</b></p><blockquote><p><b>StatisticModelIncludeIf</b></p><blockquote><p><b>url</b></p><code>attribute</code></blockquote><p><b>value</b>: Defined by Expression <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> ()</span></p><blockquote><p><b>url</b></p><code>value</code></blockquote><p><b>value</b>: <span title=\"TBD-rewrite in CQL or FHIRPath\"><code>Evidence[id='156984'].statistic[statisticType='F test'].attributeEstimate[type='p value'].quantity < 0.1</code></span>("When the Investigator-by-treatment interaction (p value for F test) is significant at the 0.1 level")</p></blockquote><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: the data will be examined for each individual investigator [EvidenceVariable/159673] to attempt to identify the source of the significant interaction. <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:identify-source-of-interaction "identify source(s) of significant interaction")</span></p><p><b>code</b>: additional investigation <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-179423.html\">Evidence Based Medicine on FHIR Implementation Guide Code System</a>#defined-in-text "defined in text")</span></p><h3>Variables</h3><table class=\"grid\"><tr><td style=\"display: none\">-</td><td><b>VariableDefinition</b></td><td><b>Handling</b></td></tr><tr><td style=\"display: none\">*</td><td><a href=\"EvidenceVariable-159673.html\">EvidenceVariable/159673: investigator</a> "Investigator"</td><td>polychotomous</td></tr></table></blockquote><blockquote><p><b>modelCharacteristic</b></p><blockquote><p><b>StatisticModelIncludeIf</b></p><blockquote><p><b>url</b></p><code>attribute</code></blockquote><p><b>value</b>: Defined by Expression <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> ()</span></p><blockquote><p><b>url</b></p><code>value</code></blockquote><p><b>value</b>: <span title=\"TBD-rewrite in CQL or FHIRPath\"><code>(Evidence[id='168845'].statistic[statisticType='Shapiro-Wilk test'].attributeEstimate[type='p value'].quantity < 0.05), using SAS PROC UNIVARIATE</code></span>("residuals are nonnormally distributed using the Shapiro-Wilk test from PROC UNIVARIATE")</p></blockquote><p><b>StatisticModelIntended</b>: true</p><p><b>StatisticModelValueCodeableConcept</b>: Analyses will also be conducted on the ranked data. This rank transformation will be applied by ranking all the data for a particular variable, across all investigators and treatments, from lowest to highest. Integer ranks will be assigned starting at 1; mean ranks will be assigned when ties occur.. <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> ()</span></p><p><b>code</b>: rank-based analytic method <span style=\"background: LightGoldenRodYellow; margin: 4px; border: 1px solid khaki\"> (<a href=\"CodeSystem-181513.html\">Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide</a>#TBD:rank-based-analytic-method)</span></p></blockquote></blockquote></div>"
},
"url" : "https://fevir.net/resources/Evidence/179683",
"identifier" : [
{
"type" : {
"coding" : [
{
"system" : "http://terminology.hl7.org/CodeSystem/v2-0203",
"code" : "ACSN",
"display" : "Accession ID"
}
],
"text" : "FEvIR Object Identifier"
},
"system" : "https://fevir.net",
"value" : "179683",
"assigner" : {
"display" : "Computable Publishing LLC"
}
}
],
"version" : "1.0.0-ballot",
"name" : "ADAS_Cog11_EndpointAnalysisPlan_from_PHUSE_Lilly_Redacted_Protocol_EBMonFHIR_IG_Version",
"title" : "ADAS-Cog(11) EndpointAnalysisPlan from PHUSE Lilly Redacted Protocol - EBMonFHIR IG Version",
"status" : "active",
"date" : "2024-05-16T12:17:54+00:00",
"publisher" : "HL7 International / Clinical Decision Support",
"contact" : [
{
"name" : "HL7 International / Clinical Decision Support",
"telecom" : [
{
"system" : "url",
"value" : "http://www.hl7.org/Special/committees/dss"
}
]
}
],
"author" : [
{
"name" : "Brian S. Alper"
}
],
"useContext" : [
{
"code" : {
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "evidence-communication",
"display" : "Evidence Communication"
},
"valueCodeableConcept" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "EndpointAnalysisPlan",
"display" : "EndpointAnalysisPlan"
}
]
}
}
],
"copyright" : "https://creativecommons.org/licenses/by-nc-sa/4.0/",
"relatedArtifact" : [
{
"type" : "cite-as",
"citation" : "ADAS-Cog(11) EndpointAnalysisPlan from PHUSE Lilly Redacted Protocol - EBMonFHIR IG Version [Evidence]. Contributors: Brian S. Alper [Authors/Creators]. In: Fast Evidence Interoperability Resources (FEvIR) Platform, FOI 179683. Revised 2023-12-04. Available at: https://fevir.net/resources/Evidence/179683. Computable resource at: https://fevir.net/resources/Evidence/179683."
},
{
"type" : "supported-with",
"display" : "Protocol attachment in associated Evidence Resource",
"resourceReference" : {
🔗 "reference" : "Evidence/179691",
"type" : "Evidence",
"display" : "Example EndpointAnalysisPlan from PHUSE Lilly Redacted Protocol - EBMonFHIR IG Version"
}
}
],
"description" : "An example of an EndpointAnalysisPlan Profile which uses intended='true' and include-if extensions within Evidence.statistic.modelCharacteristic elements.",
"note" : [
{
"text" : "Approximately 100 patients will be randomized to each of the 3 treatment groups (high dose, low dose, and placebo). Previous experience with the oral formulation of xanomeline suggests that this sample size has 90% power to detect a 3.0 mean treatment difference in ADAS-Cog (p<.05, twosided), based on a standard deviation of 6.5. \n\nGroup mean changes from baseline in the primary efficacy parameters will serve as efficacy criteria.\n\nThe primary analysis of efficacy will include only the data obtained up to and including the visit of discontinuation of study drug. Furthermore, the primary analysis will not include efficacy data obtained at any visit where the study drug was not administered in the preceding three days. Analyses that include the retrieved dropouts are considered secondary. In general, all patients will be included in all analyses of efficacy if they have a baseline measurement and at least one postrandomization measurement.\n\nThe primary analysis of ADAS-Cog (11) and CIBIC+ will be the 24-week endpoint, which is defined for each patient and variable as the last measurement obtained postrandomization (prior to protocol defined reduction in dose). a last-observation-carried-forward (LOCF). Note that the LOCF analysis at 24 weeks is the same as the endpoint analysis described previously. \n\nThe primary method to be used for the primary efficacy variables will be analysis of covariance (ANCOVA). Effects in the ANCOVA model will be the corresponding baseline score, investigator, and treatment. Investigator-by-treatment interaction will be tested in a full model prior to conducting the primary ANCOVA (see description below). Because 3 treatment groups are involved, the primary analysis will be the test for linear dose response in the ANCOVA model described in the preceding paragraph. The result is then a single p-value for ADAS-Cog. \n\nInvestigator-by-treatment interaction will be tested in a full ANCOVA or ANOVA model, which takes the models described above, and adds the interaction term to the model. Interaction will be tested at α = .10 level. When the interaction is significant at this level, the data will be examined for each individual investigator to attempt to identify the source of the significant interaction. When the interaction is not significant, this term will be dropped from the model as described above, to test for investigator and treatment main effects. By doing so, all ANCOVA and ANOVA models will be able to validly test for treatment differences without weighting each investigator equally, which is what occurs when using Type III sums of squares (cell means model) with the interaction term present in the model. This equal weighting of investigators can become a serious problem when sample sizes are dramatically different between investigators. \n\nFor all ANOVA and ANCOVA models, data collected from investigators who enrolled fewer than 3 patients in any one treatment group will be combined prior to analysis. If this combination still results in a treatment group having fewer than 3 patients in any one treatment group, then this group of patients will be combined with the next fewestenrolling investigator. In the event that there is a tie for fewest-enrolling investigator, one of these will be chosen at random by a random-number generator.\n\nThe inherent assumption of normally distributed data will be evaluated by generating output for the residuals from the full ANCOVA and ANOVA models, which include the interaction term, and by testing for normality using the Shapiro-Wilk test from PROC UNIVARIATE. In the event that the data are predominantly nonnormally distributed, analyses will also be conducted on the ranked data. This rank transformation will be applied by ranking all the data for a particular variable, across all investigators and treatments, from lowest to highest. Integer ranks will be assigned starting at 1; mean ranks will be assigned when ties occur. \n\nAll comparisons between xanomeline and placebo with respect to efficacy variables should be one-sided. The null hypothesis is that the drug is equal or worse than placebo. The alternative\nhypothesis is that the drug has greater efficacy than placebo. \n\nDifferent regulatory agencies require different type I error rates. Treatment differences that are significant at the .025 α-level will be declared to be “statistically significant.” When a computed p-value falls between .025 and .05, the differences will be described as “marginally statistically significant.” This approach satisfies regulatory agencies who have accepted a one-sided test at the .05 level, and other regulatory agencies who have requested a two-sided test at the .05 level, or equivalently, a one-sided test at the .025 level. In order to facilitate the review of the final study report, two-sided p-values will be presented in addition to the one-sided p-values."
}
],
"variableDefinition" : [
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/variable-definition-variable-role-code",
"valueCode" : "exposure"
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/variable-definition-comparator-category",
"valueString" : "placebo"
}
],
"description" : "high dose xanomeline vs. low dose xanomeline vs. placebo",
"note" : [
{
"text" : "exposure"
}
],
"variableRole" : {
"coding" : [
{
"system" : "http://terminology.hl7.org/CodeSystem/variable-role",
"code" : "exposure",
"display" : "exposure"
}
],
"text" : "Use extension:variableRoleCode instead."
},
"observed" : {
🔗 "reference" : "EvidenceVariable/179689",
"type" : "EvidenceVariable",
"display" : "GroupAssignment: high dose xanomeline vs. low dose xanomeline vs. placebo"
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/variable-definition-variable-role-code",
"valueCode" : "outcome"
}
],
"description" : "ADAS-Cog(11) at 24 weeks",
"note" : [
{
"text" : "outcome"
}
],
"variableRole" : {
"coding" : [
{
"system" : "http://terminology.hl7.org/CodeSystem/variable-role",
"code" : "measuredVariable",
"display" : "measured variable"
}
],
"text" : "Use extension:variableRoleCode instead."
}
}
],
"statistic" : [
{
"statisticType" : {
"coding" : [
{
"system" : "http://terminology.hl7.org/CodeSystem/statistic-type",
"code" : "0000457",
"display" : "Mean Difference"
}
],
"text" : "(mean treatment difference)"
},
"attributeEstimate" : [
{
"description" : "p value for one-sided test",
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:p-value-one-sided",
"display" : "p value for one-sided test"
}
],
"text" : "p value for one-sided test"
}
},
{
"description" : "p value for two-sided test",
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:p-value-two-sided",
"display" : "p value for two-sided test"
}
],
"text" : "p value for two-sided test"
}
}
],
"modelCharacteristic" : [
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"text" : "In general, all patients will be included in all analyses of efficacy if they have a baseline measurement and at least one postrandomization measurement."
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:participant-inclusion-criteria-for-analysis",
"display" : "participant inclusion criteria for analysis"
}
],
"text" : "participant inclusion criteria for analysis"
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "defined-in-text",
"display" : "defined in text"
}
],
"text" : "The primary analysis of efficacy will include only the data obtained up to and including the visit of discontinuation of study drug. Furthermore, the primary analysis will not include efficacy data obtained at any visit where the study drug was not administered in the preceding three days."
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:data-inclusion-criteria-for-analysis",
"display" : "data inclusion criteria for analysis"
}
],
"text" : "data inclusion criteria for analysis"
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:single-imputation-by-LOCF",
"display" : "single imputation by last-observation-carried-forward (LOCF)"
}
],
"text" : "single imputation by last-observation-carried-forward (LOCF)"
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:handling-of-missing-endpoint-data",
"display" : "handling of missing endpoint data"
}
],
"text" : "handling of missing endpoint data"
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "defined-in-text",
"display" : "defined in text"
}
],
"text" : "The primary analysis of efficacy will include only the data obtained up to and including the visit of discontinuation of study drug. Furthermore, the primary analysis will not include efficacy data obtained at any visit where the study drug was not administered in the preceding three days. Analyses that include the retrieved dropouts are considered secondary."
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:data-inclusion-criteria-for-secondary-analysis",
"display" : "data inclusion criteria for secondary analysis"
}
],
"text" : "data inclusion criteria for secondary analysis"
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "STATO:0000286",
"display" : "one-tailed test"
}
]
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-quantity",
"valueQuantity" : {
"value" : 0.025
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:0000081",
"display" : "alpha setting"
}
]
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-range",
"valueRange" : {
"low" : {
"value" : 0.025
},
"high" : {
"value" : 0.05
}
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "defined-in-text",
"display" : "defined in text"
}
],
"text" : "threshold for marginal statistical significance"
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "defined-in-text",
"display" : "defined in text"
}
],
"text" : "xanomeline is equal or worse than placebo"
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:null-hypothesis",
"display" : "null hypothesis"
}
],
"text" : "null hypothesis"
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "defined-in-text",
"display" : "defined in text"
}
],
"text" : "xanomeline has greater efficacy than placebo"
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:alternative-hypothesis",
"display" : "alternative hypothesis"
}
],
"text" : "alternative hypothesis"
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "defined-in-text",
"display" : "defined in text"
}
],
"text" : "SAS"
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:statistical-software-package",
"display" : "statistical software package"
}
],
"text" : "statistical software package"
}
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:sample-size",
"display" : "Sample size estimation"
}
],
"text" : "Sample Size/Power Calculation ~ 90% power to detect a 3.0 mean treatment difference in ADAS-Cog (p<.05, twosided), based on a standard deviation of 6.5 and sample size of 100 patients in each of 3 groups"
},
"attributeEstimate" : [
{
"description" : "90% power",
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:power",
"display" : "Power"
}
],
"text" : "power"
},
"quantity" : {
"value" : 90,
"unit" : "%",
"system" : "http://unitsofmeasure.org",
"code" : "%"
}
},
{
"description" : "minimally detectable threshold value 3.0",
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:checkIfInSTATOtesting-margin",
"display" : "Hypothesis testing margin"
}
],
"text" : "minimally detectable threshold value"
},
"quantity" : {
"value" : 3
}
},
{
"description" : "p<.05",
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:0000081",
"display" : "alpha setting"
}
]
},
"quantity" : {
"value" : 0.05
}
},
{
"description" : "standard deviation of 6.5",
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "STATO:0000237",
"display" : "Standard deviation"
}
]
},
"quantity" : {
"value" : 6.5
}
},
{
"description" : "sample size of 100 patients in each of 3 groups",
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:sample-size-per-group",
"display" : "sample size per group"
}
]
},
"quantity" : {
"value" : 100
}
},
{
"description" : "two-tailed test",
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "STATO:0000287",
"display" : "two-tailed test"
}
]
}
},
{
"description" : "sample permutation testing - Because there will be roughly 300!/(3 * 100!) possible permutations of the data, random data permutations will be sampled (10,000 random permutations). -- distribution assumption for comparison if random",
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:prospective-sample-permutation-testing",
"display" : "prospective sample permutation testing"
}
],
"text" : "prospective sample permutation testing"
},
"attributeEstimate" : [
{
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:number-of-permutations-sampled",
"display" : "number of permutations sampled"
}
],
"text" : "number of permutations sampled"
},
"quantity" : {
"value" : 10000
}
},
{
"type" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "defined-in-text",
"display" : "defined in text"
}
],
"text" : "allocation ratio 1:1:1"
}
}
]
}
]
},
{
"extension" : [
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:ANCOVA",
"display" : "ANCOVA"
}
],
"text" : "analysis of covariance (ANCOVA)"
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:primary-analytic-method",
"display" : "primary analytic method"
}
],
"text" : "Primary analytic method"
},
"variable" : [
{
"variableDefinition" : {
"display" : "baseline ADAS-Cog(11) score"
},
"handling" : "continuous"
},
{
"variableDefinition" : {
🔗 "reference" : "EvidenceVariable/159673",
"type" : "EvidenceVariable",
"display" : "investigator"
},
"handling" : "polychotomous"
},
{
"variableDefinition" : {
"display" : "treatment"
},
"handling" : "ordinal",
"valueCategory" : [
{
"text" : "high dose xanomeline"
},
{
"text" : "low dose xanomeline"
},
{
"text" : "placebo"
}
]
},
{
"extension" : [
{
"extension" : [
{
"url" : "attribute",
"valueCodeableConcept" : {
"text" : "p value for F test"
}
},
{
"url" : "value",
"valueQuantity" : {
"value" : 0.1,
"comparator" : "<"
}
}
],
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-include-if"
}
],
"variableDefinition" : {
🔗 "reference" : "EvidenceVariable/156673",
"type" : "EvidenceVariable",
"display" : "Investigator-by-treatment interaction"
},
"handling" : "polychotomous"
}
]
},
{
"extension" : [
{
"extension" : [
{
"url" : "attribute",
"valueCodeableConcept" : {
"text" : "Defined by Expression"
}
},
{
"url" : "value",
"valueExpression" : {
"description" : "When the Investigator-by-treatment interaction (p value for F test) is significant at the 0.1 level",
"language" : "TBD-rewrite in CQL or FHIRPath",
"expression" : "Evidence[id='156984'].statistic[statisticType='F test'].attributeEstimate[type='p value'].quantity < 0.1"
}
}
],
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-include-if"
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:identify-source-of-interaction",
"display" : "identify source(s) of significant interaction"
}
],
"text" : "the data will be examined for each individual investigator [EvidenceVariable/159673] to attempt to identify the source of the significant interaction."
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/179423",
"code" : "defined-in-text",
"display" : "defined in text"
}
],
"text" : "additional investigation"
},
"variable" : [
{
"variableDefinition" : {
🔗 "reference" : "EvidenceVariable/159673",
"type" : "EvidenceVariable",
"display" : "investigator"
},
"handling" : "polychotomous"
}
]
},
{
"extension" : [
{
"extension" : [
{
"url" : "attribute",
"valueCodeableConcept" : {
"text" : "Defined by Expression"
}
},
{
"url" : "value",
"valueExpression" : {
"description" : "residuals are nonnormally distributed using the Shapiro-Wilk test from PROC UNIVARIATE",
"language" : "TBD-rewrite in CQL or FHIRPath",
"expression" : "(Evidence[id='168845'].statistic[statisticType='Shapiro-Wilk test'].attributeEstimate[type='p value'].quantity < 0.05), using SAS PROC UNIVARIATE"
}
}
],
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-include-if"
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-intended",
"valueBoolean" : true
},
{
"url" : "http://hl7.org/fhir/uv/ebm/StructureDefinition/statistic-model-value-codeableconcept",
"valueCodeableConcept" : {
"text" : "Analyses will also be conducted on the ranked data. This rank transformation will be applied by ranking all the data for a particular variable, across all investigators and treatments, from lowest to highest. Integer ranks will be assigned starting at 1; mean ranks will be assigned when ties occur.."
}
}
],
"code" : {
"coding" : [
{
"system" : "https://fevir.net/resources/CodeSystem/181513",
"code" : "TBD:rank-based-analytic-method",
"display" : "rank-based analytic method"
}
]
}
}
]
}
]
}
IG © 2022+ HL7 International / Clinical Decision Support. Package hl7.fhir.uv.ebm#1.0.0-ballot based on FHIR 5.0.0. Generated 2024-05-16
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