HL7 Terminology (THO)
6.3.0 - Publication
HL7 Terminology (THO)
6.3.0 - Publication
HL7 Terminology (THO), published by HL7 International - Vocabulary Work Group. This guide is not an authorized publication; it is the continuous build for version 6.3.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/UTG/ and changes regularly. See the Directory of published versions
| Page standards status: Trial-use | Maturity Level: 1 |
<CodeSystem xmlns="http://hl7.org/fhir">
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<div xmlns="http://www.w3.org/1999/xhtml"><p class="res-header-id"><b>Generated Narrative: CodeSystem statistic-model-code</b></p><a name="statistic-model-code"> </a><a name="hcstatistic-model-code"> </a><a name="statistic-model-code-en-US"> </a><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"/><p style="margin-bottom: 0px">Profile: <a href="http://hl7.org/fhir/R5/shareablecodesystem.html">Shareable CodeSystem</a></p></div><p>This case-sensitive code system <code>http://terminology.hl7.org/CodeSystem/statistic-model-code</code> defines the following codes:</p><table class="codes"><tr><td style="white-space:nowrap"><b>Code</b></td><td><b>Display</b></td><td><b>Definition</b></td></tr><tr><td style="white-space:nowrap">oneTailedTest<a name="statistic-model-code-oneTailedTest"> </a></td><td>one-tailed test (1 threshold)</td><td>Used for one-tailed test (1 threshold), no additional elements needed</td></tr><tr><td style="white-space:nowrap">twoTailedTest<a name="statistic-model-code-twoTailedTest"> </a></td><td>two-tailed test (2 thresholds)</td><td>Used for two-tailed test (2 threshold), no additional elements needed</td></tr><tr><td style="white-space:nowrap">zTest<a name="statistic-model-code-zTest"> </a></td><td>z-test</td><td>Used for z-test, no additional elements needed</td></tr><tr><td style="white-space:nowrap">oneSampleTTest<a name="statistic-model-code-oneSampleTTest"> </a></td><td>1-sample t-test</td><td>Used for 1-sample t-test, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">twoSampleTTest<a name="statistic-model-code-twoSampleTTest"> </a></td><td>2-sample t-test</td><td>Used for 2-sample t-test, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">pairedTTest<a name="statistic-model-code-pairedTTest"> </a></td><td>paired t-test</td><td>Used for paired t-test, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">chiSquareTest<a name="statistic-model-code-chiSquareTest"> </a></td><td>Chi-square test</td><td>Used for Chi-square test, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">chiSquareTestTrend<a name="statistic-model-code-chiSquareTestTrend"> </a></td><td>Chi-square test for trend</td><td>Used for Chi-square test for trend, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">pearsonCorrelation<a name="statistic-model-code-pearsonCorrelation"> </a></td><td>Pearson correlation</td><td>Used for Pearson correlation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">anova<a name="statistic-model-code-anova"> </a></td><td>ANOVA (ANalysis Of VAriance)</td><td>Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">anovaOneWay<a name="statistic-model-code-anovaOneWay"> </a></td><td>one-way ANOVA</td><td>Used for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">anovaTwoWay<a name="statistic-model-code-anovaTwoWay"> </a></td><td>2-way ANOVA without replication</td><td>Used for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">anovaTwoWayReplication<a name="statistic-model-code-anovaTwoWayReplication"> </a></td><td>2-way ANOVA with replication</td><td>Used for 2-way ANOVA with replication method of analysis, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">manova<a name="statistic-model-code-manova"> </a></td><td>multivariate ANOVA (MANOVA)</td><td>Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">anovaThreeWay<a name="statistic-model-code-anovaThreeWay"> </a></td><td>3-way ANOVA</td><td>Used for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">signTest<a name="statistic-model-code-signTest"> </a></td><td>sign test</td><td>Used for sign test, no additional elements needed</td></tr><tr><td style="white-space:nowrap">wilcoxonSignedRankTest<a name="statistic-model-code-wilcoxonSignedRankTest"> </a></td><td>Wilcoxon signed-rank test</td><td>Used for Wilcoxon signed-rank test, no additional elements needed</td></tr><tr><td style="white-space:nowrap">wilcoxonRankSumTest<a name="statistic-model-code-wilcoxonRankSumTest"> </a></td><td>Wilcoxon rank-sum test</td><td>Used for Wilcoxon rank-sum test, no additional elements needed</td></tr><tr><td style="white-space:nowrap">mannWhitneyUTest<a name="statistic-model-code-mannWhitneyUTest"> </a></td><td>Mann-Whitney U test</td><td>Used for Mann-Whitney U test, no additional elements needed</td></tr><tr><td style="white-space:nowrap">fishersExactTest<a name="statistic-model-code-fishersExactTest"> </a></td><td>Fisher’s exact test</td><td>Used for Fisher's exact test, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">mcnemarsTest<a name="statistic-model-code-mcnemarsTest"> </a></td><td>McNemar’s test</td><td>Used for McNemar's test, no additional elements needed</td></tr><tr><td style="white-space:nowrap">kruskalWallisTest<a name="statistic-model-code-kruskalWallisTest"> </a></td><td>Kruskal Wallis test</td><td>Used for Kruskal Wallis test, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">spearmanCorrelation<a name="statistic-model-code-spearmanCorrelation"> </a></td><td>Spearman correlation</td><td>Used for Spearman correlation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">kendallCorrelation<a name="statistic-model-code-kendallCorrelation"> </a></td><td>Kendall correlation</td><td>Used for Kendall correlation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">friedmanTest<a name="statistic-model-code-friedmanTest"> </a></td><td>Friedman test</td><td>Used for Friedman test, no additional elements needed</td></tr><tr><td style="white-space:nowrap">goodmanKruskasGamma<a name="statistic-model-code-goodmanKruskasGamma"> </a></td><td>Goodman Kruska’s Gamma</td><td>Used for Goodman Kruska’s Gamma, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glm<a name="statistic-model-code-glm"> </a></td><td>GLM (Generalized Linear Model)</td><td>Used for GLM (Generalized Linear Model), no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmProbit<a name="statistic-model-code-glmProbit"> </a></td><td>GLM with probit link</td><td>Used for GLM with probit link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmLogit<a name="statistic-model-code-glmLogit"> </a></td><td>GLM with logit link</td><td>Used for GLM with logit link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmIdentity<a name="statistic-model-code-glmIdentity"> </a></td><td>GLM with identity link</td><td>Used for GLM with identity link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmLog<a name="statistic-model-code-glmLog"> </a></td><td>GLM with log link</td><td>Used for GLM with log link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmGeneralizedLogit<a name="statistic-model-code-glmGeneralizedLogit"> </a></td><td>GLM with generalized logit link</td><td>Used for GLM with generalized logit link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmm<a name="statistic-model-code-glmm"> </a></td><td>Generalized linear mixed model (GLMM)</td><td>Used for Generalized linear mixed model (GLMM), no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmmProbit<a name="statistic-model-code-glmmProbit"> </a></td><td>GLMM with probit link</td><td>Used for GLMM with probit link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmmLogit<a name="statistic-model-code-glmmLogit"> </a></td><td>GLMM with logit link</td><td>Used for GLMM with logit link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmmIdentity<a name="statistic-model-code-glmmIdentity"> </a></td><td>GLMM with identity link</td><td>Used for GLMM with identity link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmmLog<a name="statistic-model-code-glmmLog"> </a></td><td>GLMM with log link</td><td>Used for GLMM with log link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">glmmGeneralizedLogit<a name="statistic-model-code-glmmGeneralizedLogit"> </a></td><td>GLMM with generalized logit link</td><td>Used for GLMM with generalized logit link, no additional elements needed</td></tr><tr><td style="white-space:nowrap">linearRegression<a name="statistic-model-code-linearRegression"> </a></td><td>Linear Regression</td><td>Used for linear regression method of analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">logisticRegression<a name="statistic-model-code-logisticRegression"> </a></td><td>Logistic Regression</td><td>Used for logistic regression method of analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">polynomialRegression<a name="statistic-model-code-polynomialRegression"> </a></td><td>Polynomial Regression</td><td>Used for Polynomial regression method of analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">coxProportionalHazards<a name="statistic-model-code-coxProportionalHazards"> </a></td><td>Cox Proportional Hazards</td><td>Used for Cox proportional hazards method of analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">binomialDistributionRegression<a name="statistic-model-code-binomialDistributionRegression"> </a></td><td>Binomial Distribution for Regression</td><td>Used for Binomial Distribution for Regression, no additional elements needed</td></tr><tr><td style="white-space:nowrap">multinomialDistributionRegression<a name="statistic-model-code-multinomialDistributionRegression"> </a></td><td>Multinomial Distribution for Regression</td><td>Used for Multinomial Distribution for Regression, no additional elements needed</td></tr><tr><td style="white-space:nowrap">poissonRegression<a name="statistic-model-code-poissonRegression"> </a></td><td>Poisson Regression</td><td>Used for Poisson Regression, no additional elements needed</td></tr><tr><td style="white-space:nowrap">negativeBinomialRegression<a name="statistic-model-code-negativeBinomialRegression"> </a></td><td>Negative Binomial Regression</td><td>Used for Negative Binomial Regression, no additional elements needed</td></tr><tr><td style="white-space:nowrap">zeroCellConstant<a name="statistic-model-code-zeroCellConstant"> </a></td><td>Zero-cell adjustment with constant</td><td>Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with "value" to define the constant</td></tr><tr><td style="white-space:nowrap">zeroCellContinuityCorrection<a name="statistic-model-code-zeroCellContinuityCorrection"> </a></td><td>Zero-cell adjustment with continuity correction</td><td>Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed</td></tr><tr><td style="white-space:nowrap">adjusted<a name="statistic-model-code-adjusted"> </a></td><td>Adjusted analysis</td><td>Used for adjusted analysis, paired with variable element(s)</td></tr><tr><td style="white-space:nowrap">interactionTerm<a name="statistic-model-code-interactionTerm"> </a></td><td>Interaction term</td><td>Used for interaction term, paired with "value" and two or more variable elements</td></tr><tr><td style="white-space:nowrap">manteHaenszelMethod<a name="statistic-model-code-manteHaenszelMethod"> </a></td><td>Mantel-Haenszel method</td><td>Used for Mantel-Haenszel method, no additional elements needed</td></tr><tr><td style="white-space:nowrap">metaAnalysis<a name="statistic-model-code-metaAnalysis"> </a></td><td>Meta-analysis</td><td>Used for meta-analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">inverseVariance<a name="statistic-model-code-inverseVariance"> </a></td><td>Inverse variance method</td><td>Used for inverse variance method of meta-analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">petoMethod<a name="statistic-model-code-petoMethod"> </a></td><td>Peto method</td><td>Used for Peto method of meta-analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">hartungKnapp<a name="statistic-model-code-hartungKnapp"> </a></td><td>Hartung-Knapp adjustment</td><td>Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">modifiedHartungKnapp<a name="statistic-model-code-modifiedHartungKnapp"> </a></td><td>Modified Hartung-Knapp adjustment</td><td>Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">effectsFixed<a name="statistic-model-code-effectsFixed"> </a></td><td>Fixed-effects</td><td>From a fixed-effects analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">effectsRandom<a name="statistic-model-code-effectsRandom"> </a></td><td>Random-effects</td><td>From a random-effects analysis, no additional elements needed</td></tr><tr><td style="white-space:nowrap">chiSquareTestHomogeneity<a name="statistic-model-code-chiSquareTestHomogeneity"> </a></td><td>Chi-square test for homogeneity</td><td>Used for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom</td></tr><tr><td style="white-space:nowrap">dersimonianLairdMethod<a name="statistic-model-code-dersimonianLairdMethod"> </a></td><td>Dersimonian-Laird method</td><td>Used for Dersimonian-Laird method of tau estimation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">pauleMandelMethod<a name="statistic-model-code-pauleMandelMethod"> </a></td><td>Paule-Mandel method</td><td>Used for Paule-Mandel method of tau estimation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">restrictedLikelihood<a name="statistic-model-code-restrictedLikelihood"> </a></td><td>Restricted Maximum Likelihood method</td><td>Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">maximumLikelihood<a name="statistic-model-code-maximumLikelihood"> </a></td><td>Maximum Likelihood method</td><td>Used for Maximum Likelihood method of tau estimation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">empiricalBayes<a name="statistic-model-code-empiricalBayes"> </a></td><td>Empirical Bayes method</td><td>Used for Empirical Bayes method of tau estimation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">hunterSchmidt<a name="statistic-model-code-hunterSchmidt"> </a></td><td>Hunter-Schmidt method</td><td>Used for Hunter-Schmidt method of tau estimation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">sidikJonkman<a name="statistic-model-code-sidikJonkman"> </a></td><td>Sidik-Jonkman method</td><td>Used for Sidik-Jonkman method of tau estimation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">hedgesMethod<a name="statistic-model-code-hedgesMethod"> </a></td><td>Hedges method</td><td>Used for Hedges method of tau estimation, no additional elements needed</td></tr><tr><td style="white-space:nowrap">tauDersimonianLaird<a name="statistic-model-code-tauDersimonianLaird"> </a></td><td>Dersimonian-Laird method</td><td>Dersimonian-Laird method for tau squared</td></tr><tr><td style="white-space:nowrap">tauPauleMandel<a name="statistic-model-code-tauPauleMandel"> </a></td><td>Paule-Mandel method</td><td>Paule-Mandel method for tau squared</td></tr><tr><td style="white-space:nowrap">tauRestrictedMaximumLikelihood<a name="statistic-model-code-tauRestrictedMaximumLikelihood"> </a></td><td>Restricted Maximum Likelihood method</td><td>Restricted Maximum Likelihood method for tau squared</td></tr><tr><td style="white-space:nowrap">tauMaximumLikelihood<a name="statistic-model-code-tauMaximumLikelihood"> </a></td><td>Maximum Likelihood method</td><td>Maximum Likelihood method for tau squared</td></tr><tr><td style="white-space:nowrap">tauEmpiricalBayes<a name="statistic-model-code-tauEmpiricalBayes"> </a></td><td>Empirical Bayes method</td><td>Empirical Bayes method for tau squared</td></tr><tr><td style="white-space:nowrap">tauHunterSchmidt<a name="statistic-model-code-tauHunterSchmidt"> </a></td><td>Hunter-Schmidt method</td><td>Hunter-Schmidt method for tau squared</td></tr><tr><td style="white-space:nowrap">tauSidikJonkman<a name="statistic-model-code-tauSidikJonkman"> </a></td><td>Sidik-Jonkman method</td><td>Sidik-Jonkman method for tau squared</td></tr><tr><td style="white-space:nowrap">tauHedges<a name="statistic-model-code-tauHedges"> </a></td><td>Hedges method</td><td>Hedges method for tau squared</td></tr><tr><td style="white-space:nowrap">poolMantelHaenzsel<a name="statistic-model-code-poolMantelHaenzsel"> </a></td><td>Mantel-Haenszel method</td><td>Mantel-Haenszel method for pooling in meta-analysis</td></tr><tr><td style="white-space:nowrap">poolInverseVariance<a name="statistic-model-code-poolInverseVariance"> </a></td><td>Inverse variance method</td><td>Inverse variance method for pooling in meta-analysis</td></tr><tr><td style="white-space:nowrap">poolPeto<a name="statistic-model-code-poolPeto"> </a></td><td>Peto method</td><td>Peto method for pooling in meta-analysis</td></tr><tr><td style="white-space:nowrap">poolGeneralizedLinearMixedModel<a name="statistic-model-code-poolGeneralizedLinearMixedModel"> </a></td><td>Generalized linear mixed model (GLMM)</td><td>Generalized linear mixed model (GLMM) method for pooling in meta-analysis</td></tr></table></div>
</text>
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<url value="http://terminology.hl7.org/CodeSystem/statistic-model-code"/>
<version value="1.0.0"/>
<name value="StatisticModelCode"/>
<title value="Statistic Model Code"/>
<status value="active"/>
<experimental value="false"/>
<date value="2025-01-20T12:00:00+11:00"/>
<publisher value="HL7 (FHIR Project)"/>
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<description value="The role that the assertion variable plays."/>
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<concept>
<code value="oneTailedTest"/>
<display value="one-tailed test (1 threshold)"/>
<definition
value="Used for one-tailed test (1 threshold), no additional elements needed"/>
</concept>
<concept>
<code value="twoTailedTest"/>
<display value="two-tailed test (2 thresholds)"/>
<definition
value="Used for two-tailed test (2 threshold), no additional elements needed"/>
</concept>
<concept>
<code value="zTest"/>
<display value="z-test"/>
<definition value="Used for z-test, no additional elements needed"/>
</concept>
<concept>
<code value="oneSampleTTest"/>
<display value="1-sample t-test"/>
<definition
value="Used for 1-sample t-test, may be paired with "value" to express degrees of freedom"/>
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<concept>
<code value="twoSampleTTest"/>
<display value="2-sample t-test"/>
<definition
value="Used for 2-sample t-test, may be paired with "value" to express degrees of freedom"/>
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<concept>
<code value="pairedTTest"/>
<display value="paired t-test"/>
<definition
value="Used for paired t-test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="chiSquareTest"/>
<display value="Chi-square test"/>
<definition
value="Used for Chi-square test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="chiSquareTestTrend"/>
<display value="Chi-square test for trend"/>
<definition
value="Used for Chi-square test for trend, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="pearsonCorrelation"/>
<display value="Pearson correlation"/>
<definition
value="Used for Pearson correlation, no additional elements needed"/>
</concept>
<concept>
<code value="anova"/>
<display value="ANOVA (ANalysis Of VAriance)"/>
<definition
value="Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="anovaOneWay"/>
<display value="one-way ANOVA"/>
<definition
value="Used for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="anovaTwoWay"/>
<display value="2-way ANOVA without replication"/>
<definition
value="Used for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="anovaTwoWayReplication"/>
<display value="2-way ANOVA with replication"/>
<definition
value="Used for 2-way ANOVA with replication method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="manova"/>
<display value="multivariate ANOVA (MANOVA)"/>
<definition
value="Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="anovaThreeWay"/>
<display value="3-way ANOVA"/>
<definition
value="Used for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="signTest"/>
<display value="sign test"/>
<definition value="Used for sign test, no additional elements needed"/>
</concept>
<concept>
<code value="wilcoxonSignedRankTest"/>
<display value="Wilcoxon signed-rank test"/>
<definition
value="Used for Wilcoxon signed-rank test, no additional elements needed"/>
</concept>
<concept>
<code value="wilcoxonRankSumTest"/>
<display value="Wilcoxon rank-sum test"/>
<definition
value="Used for Wilcoxon rank-sum test, no additional elements needed"/>
</concept>
<concept>
<code value="mannWhitneyUTest"/>
<display value="Mann-Whitney U test"/>
<definition
value="Used for Mann-Whitney U test, no additional elements needed"/>
</concept>
<concept>
<code value="fishersExactTest"/>
<display value="Fisher’s exact test"/>
<definition
value="Used for Fisher's exact test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="mcnemarsTest"/>
<display value="McNemar’s test"/>
<definition
value="Used for McNemar's test, no additional elements needed"/>
</concept>
<concept>
<code value="kruskalWallisTest"/>
<display value="Kruskal Wallis test"/>
<definition
value="Used for Kruskal Wallis test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="spearmanCorrelation"/>
<display value="Spearman correlation"/>
<definition
value="Used for Spearman correlation, no additional elements needed"/>
</concept>
<concept>
<code value="kendallCorrelation"/>
<display value="Kendall correlation"/>
<definition
value="Used for Kendall correlation, no additional elements needed"/>
</concept>
<concept>
<code value="friedmanTest"/>
<display value="Friedman test"/>
<definition
value="Used for Friedman test, no additional elements needed"/>
</concept>
<concept>
<code value="goodmanKruskasGamma"/>
<display value="Goodman Kruska’s Gamma"/>
<definition
value="Used for Goodman Kruska’s Gamma, no additional elements needed"/>
</concept>
<concept>
<code value="glm"/>
<display value="GLM (Generalized Linear Model)"/>
<definition
value="Used for GLM (Generalized Linear Model), no additional elements needed"/>
</concept>
<concept>
<code value="glmProbit"/>
<display value="GLM with probit link"/>
<definition
value="Used for GLM with probit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmLogit"/>
<display value="GLM with logit link"/>
<definition
value="Used for GLM with logit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmIdentity"/>
<display value="GLM with identity link"/>
<definition
value="Used for GLM with identity link, no additional elements needed"/>
</concept>
<concept>
<code value="glmLog"/>
<display value="GLM with log link"/>
<definition
value="Used for GLM with log link, no additional elements needed"/>
</concept>
<concept>
<code value="glmGeneralizedLogit"/>
<display value="GLM with generalized logit link"/>
<definition
value="Used for GLM with generalized logit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmm"/>
<display value="Generalized linear mixed model (GLMM)"/>
<definition
value="Used for Generalized linear mixed model (GLMM), no additional elements needed"/>
</concept>
<concept>
<code value="glmmProbit"/>
<display value="GLMM with probit link"/>
<definition
value="Used for GLMM with probit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmmLogit"/>
<display value="GLMM with logit link"/>
<definition
value="Used for GLMM with logit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmmIdentity"/>
<display value="GLMM with identity link"/>
<definition
value="Used for GLMM with identity link, no additional elements needed"/>
</concept>
<concept>
<code value="glmmLog"/>
<display value="GLMM with log link"/>
<definition
value="Used for GLMM with log link, no additional elements needed"/>
</concept>
<concept>
<code value="glmmGeneralizedLogit"/>
<display value="GLMM with generalized logit link"/>
<definition
value="Used for GLMM with generalized logit link, no additional elements needed"/>
</concept>
<concept>
<code value="linearRegression"/>
<display value="Linear Regression"/>
<definition
value="Used for linear regression method of analysis, no additional elements needed"/>
</concept>
<concept>
<code value="logisticRegression"/>
<display value="Logistic Regression"/>
<definition
value="Used for logistic regression method of analysis, no additional elements needed"/>
</concept>
<concept>
<code value="polynomialRegression"/>
<display value="Polynomial Regression"/>
<definition
value="Used for Polynomial regression method of analysis, no additional elements needed"/>
</concept>
<concept>
<code value="coxProportionalHazards"/>
<display value="Cox Proportional Hazards"/>
<definition
value="Used for Cox proportional hazards method of analysis, no additional elements needed"/>
</concept>
<concept>
<code value="binomialDistributionRegression"/>
<display value="Binomial Distribution for Regression"/>
<definition
value="Used for Binomial Distribution for Regression, no additional elements needed"/>
</concept>
<concept>
<code value="multinomialDistributionRegression"/>
<display value="Multinomial Distribution for Regression"/>
<definition
value="Used for Multinomial Distribution for Regression, no additional elements needed"/>
</concept>
<concept>
<code value="poissonRegression"/>
<display value="Poisson Regression"/>
<definition
value="Used for Poisson Regression, no additional elements needed"/>
</concept>
<concept>
<code value="negativeBinomialRegression"/>
<display value="Negative Binomial Regression"/>
<definition
value="Used for Negative Binomial Regression, no additional elements needed"/>
</concept>
<concept>
<code value="zeroCellConstant"/>
<display value="Zero-cell adjustment with constant"/>
<definition
value="Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with "value" to define the constant"/>
</concept>
<concept>
<code value="zeroCellContinuityCorrection"/>
<display value="Zero-cell adjustment with continuity correction"/>
<definition
value="Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed"/>
</concept>
<concept>
<code value="adjusted"/>
<display value="Adjusted analysis"/>
<definition
value="Used for adjusted analysis, paired with variable element(s)"/>
</concept>
<concept>
<code value="interactionTerm"/>
<display value="Interaction term"/>
<definition
value="Used for interaction term, paired with "value" and two or more variable elements"/>
</concept>
<concept>
<code value="manteHaenszelMethod"/>
<display value="Mantel-Haenszel method"/>
<definition
value="Used for Mantel-Haenszel method, no additional elements needed"/>
</concept>
<concept>
<code value="metaAnalysis"/>
<display value="Meta-analysis"/>
<definition
value="Used for meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="inverseVariance"/>
<display value="Inverse variance method"/>
<definition
value="Used for inverse variance method of meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="petoMethod"/>
<display value="Peto method"/>
<definition
value="Used for Peto method of meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="hartungKnapp"/>
<display value="Hartung-Knapp adjustment"/>
<definition
value="Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="modifiedHartungKnapp"/>
<display value="Modified Hartung-Knapp adjustment"/>
<definition
value="Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="effectsFixed"/>
<display value="Fixed-effects"/>
<definition
value="From a fixed-effects analysis, no additional elements needed"/>
</concept>
<concept>
<code value="effectsRandom"/>
<display value="Random-effects"/>
<definition
value="From a random-effects analysis, no additional elements needed"/>
</concept>
<concept>
<code value="chiSquareTestHomogeneity"/>
<display value="Chi-square test for homogeneity"/>
<definition
value="Used for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="dersimonianLairdMethod"/>
<display value="Dersimonian-Laird method"/>
<definition
value="Used for Dersimonian-Laird method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="pauleMandelMethod"/>
<display value="Paule-Mandel method"/>
<definition
value="Used for Paule-Mandel method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="restrictedLikelihood"/>
<display value="Restricted Maximum Likelihood method"/>
<definition
value="Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="maximumLikelihood"/>
<display value="Maximum Likelihood method"/>
<definition
value="Used for Maximum Likelihood method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="empiricalBayes"/>
<display value="Empirical Bayes method"/>
<definition
value="Used for Empirical Bayes method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="hunterSchmidt"/>
<display value="Hunter-Schmidt method"/>
<definition
value="Used for Hunter-Schmidt method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="sidikJonkman"/>
<display value="Sidik-Jonkman method"/>
<definition
value="Used for Sidik-Jonkman method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="hedgesMethod"/>
<display value="Hedges method"/>
<definition
value="Used for Hedges method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="tauDersimonianLaird"/>
<display value="Dersimonian-Laird method"/>
<definition value="Dersimonian-Laird method for tau squared"/>
</concept>
<concept>
<code value="tauPauleMandel"/>
<display value="Paule-Mandel method"/>
<definition value="Paule-Mandel method for tau squared"/>
</concept>
<concept>
<code value="tauRestrictedMaximumLikelihood"/>
<display value="Restricted Maximum Likelihood method"/>
<definition value="Restricted Maximum Likelihood method for tau squared"/>
</concept>
<concept>
<code value="tauMaximumLikelihood"/>
<display value="Maximum Likelihood method"/>
<definition value="Maximum Likelihood method for tau squared"/>
</concept>
<concept>
<code value="tauEmpiricalBayes"/>
<display value="Empirical Bayes method"/>
<definition value="Empirical Bayes method for tau squared"/>
</concept>
<concept>
<code value="tauHunterSchmidt"/>
<display value="Hunter-Schmidt method"/>
<definition value="Hunter-Schmidt method for tau squared"/>
</concept>
<concept>
<code value="tauSidikJonkman"/>
<display value="Sidik-Jonkman method"/>
<definition value="Sidik-Jonkman method for tau squared"/>
</concept>
<concept>
<code value="tauHedges"/>
<display value="Hedges method"/>
<definition value="Hedges method for tau squared"/>
</concept>
<concept>
<code value="poolMantelHaenzsel"/>
<display value="Mantel-Haenszel method"/>
<definition value="Mantel-Haenszel method for pooling in meta-analysis"/>
</concept>
<concept>
<code value="poolInverseVariance"/>
<display value="Inverse variance method"/>
<definition value="Inverse variance method for pooling in meta-analysis"/>
</concept>
<concept>
<code value="poolPeto"/>
<display value="Peto method"/>
<definition value="Peto method for pooling in meta-analysis"/>
</concept>
<concept>
<code value="poolGeneralizedLinearMixedModel"/>
<display value="Generalized linear mixed model (GLMM)"/>
<definition
value="Generalized linear mixed model (GLMM) method for pooling in meta-analysis"/>
</concept>
</CodeSystem>
IG © 2020+ HL7 International - Vocabulary Work Group. Package hl7.terminology#6.3.0 based on FHIR 5.0.0. Generated 2025-04-22
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