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4.4.1.190 Value Set http://hl7.org/fhir/ValueSet/statistic-model-code

Clinical Decision Support Work Group Maturity Level: 1Trial Use Use Context: Any

This is a value set defined by the FHIR project.

Summary

Defining URL:http://hl7.org/fhir/ValueSet/statistic-model-code
Version:4.6.0
Name:StatisticModelCode
Title:StatisticModelCode
Definition:

The handling of the variable in statistical analysis for exposures or outcomes.

Committee:Clinical Decision Support Work Group
OID:2.16.840.1.113883.4.642.3.1540 (for OID based terminology systems)
Source ResourceXML / JSON

This value set is used in the following places:


 

This expansion generated 14 Oct 2021


This value set contains 79 concepts

Expansion based on StatisticModelCode v4.6.0 (CodeSystem)

All codes in this table are from the system http://terminology.hl7.org/CodeSystem/statistic-model-code

CodeDisplayDefinition
oneTailedTestone-tailed test (1 threshold)Used for one-tailed test (1 threshold), no additional elements needed
twoTailedTesttwo-tailed test (2 thresholds)Used for two-tailed test (2 threshold), no additional elements needed
zTestz-testUsed for z-test, no additional elements needed
oneSampleTTest1-sample t-testUsed for 1-sample t-test, may be paired with "value" to express degrees of freedom
twoSampleTTest2-sample t-testUsed for 2-sample t-test, may be paired with "value" to express degrees of freedom
pairedTTestpaired t-testUsed for paired t-test, may be paired with "value" to express degrees of freedom
chiSquareTestChi-square testUsed for Chi-square test, may be paired with "value" to express degrees of freedom
chiSquareTestTrendChi-square test for trendUsed for Chi-square test for trend, may be paired with "value" to express degrees of freedom
pearsonCorrelationPearson correlationUsed for Pearson correlation, no additional elements needed
anovaANOVA (ANalysis Of VAriance)Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom
anovaOneWayone-way ANOVAUsed for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
anovaTwoWay2-way ANOVA without replicationUsed for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom
anovaTwoWayReplication2-way ANOVA with replicationUsed for 2-way ANOVA with replication method of analysis, may be paired with "value" to express degrees of freedom
manovamultivariate ANOVA (MANOVA)Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom
anovaThreeWay3-way ANOVAUsed for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
signTestsign testUsed for sign test, no additional elements needed
wilcoxonSignedRankTestWilcoxon signed-rank testUsed for Wilcoxon signed-rank test, no additional elements needed
wilcoxonRankSumTestWilcoxon rank-sum testUsed for Wilcoxon rank-sum test, no additional elements needed
mannWhitneyUTestMann-Whitney U testUsed for Mann-Whitney U test, no additional elements needed
fishersExactTestFisher’s exact testUsed for Fisher's exact test, may be paired with "value" to express degrees of freedom
mcnemarsTestMcNemar’s testUsed for McNemar's test, no additional elements needed
kruskalWallisTestKruskal Wallis testUsed for Kruskal Wallis test, may be paired with "value" to express degrees of freedom
spearmanCorrelationSpearman correlationUsed for Spearman correlation, no additional elements needed
kendallCorrelationKendall correlationUsed for Kendall correlation, no additional elements needed
friedmanTestFriedman testUsed for Friedman test, no additional elements needed
goodmanKruskasGammaGoodman Kruska’s GammaUsed for Goodman Kruska’s Gamma, no additional elements needed
glmGLM (Generalized Linear Model)Used for GLM (Generalized Linear Model), no additional elements needed
glmProbitGLM with probit linkUsed for GLM with probit link, no additional elements needed
glmLogitGLM with logit linkUsed for GLM with logit link, no additional elements needed
glmIdentityGLM with identity linkUsed for GLM with identity link, no additional elements needed
glmLogGLM with log linkUsed for GLM with log link, no additional elements needed
glmGeneralizedLogitGLM with generalized logit linkUsed for GLM with generalized logit link, no additional elements needed
glmmGeneralized linear mixed model (GLMM)Used for Generalized linear mixed model (GLMM), no additional elements needed
glmmProbitGLMM with probit linkUsed for GLMM with probit link, no additional elements needed
glmmLogitGLMM with logit linkUsed for GLMM with logit link, no additional elements needed
glmmIdentityGLMM with identity linkUsed for GLMM with identity link, no additional elements needed
glmmLogGLMM with log linkUsed for GLMM with log link, no additional elements needed
glmmGeneralizedLogitGLMM with generalized logit linkUsed for GLMM with generalized logit link, no additional elements needed
linearRegressionLinear RegressionUsed for linear regression method of analysis, no additional elements needed
logisticRegressionLogistic RegressionUsed for logistic regression method of analysis, no additional elements needed
polynomialRegressionPolynomial RegressionUsed for Polynomial regression method of analysis, no additional elements needed
coxProportionalHazardsCox Proportional HazardsUsed for Cox proportional hazards method of analysis, no additional elements needed
binomialDistributionRegressionBinomial Distribution for RegressionUsed for Binomial Distribution for Regression, no additional elements needed
multinomialDistributionRegressionMultinomial Distribution for RegressionUsed for Multinomial Distribution for Regression, no additional elements needed
poissonRegressionPoisson RegressionUsed for Poisson Regression, no additional elements needed
negativeBinomialRegressionNegative Binomial RegressionUsed for Negative Binomial Regression, no additional elements needed
zeroCellConstantZero-cell adjustment with constantZero-cell adjustment done by adding a constant to all cells of affected studies, paired with "value" to define the constant
zeroCellContinuityCorrectionZero-cell adjustment with continuity correctionZero-cell adjustment done by treatment arm continuity correction, no additional elements needed
adjustedAdjusted analysisUsed for adjusted analysis, paired with variable element(s)
interactionTermInteraction termUsed for interaction term, paired with "value" and two or more variable elements
manteHaenszelMethodMantel-Haenszel methodUsed for Mantel-Haenszel method, no additional elements needed
metaAnalysisMeta-analysisUsed for meta-analysis, no additional elements needed
inverseVarianceInverse variance methodUsed for inverse variance method of meta-analysis, no additional elements needed
petoMethodPeto methodUsed for Peto method of meta-analysis, no additional elements needed
hartungKnappHartung-Knapp adjustmentHartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
modifiedHartungKnappModified Hartung-Knapp adjustmentModified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
effectsFixedFixed-effectsFrom a fixed-effects analysis, no additional elements needed
effectsRandomRandom-effectsFrom a random-effects analysis, no additional elements needed
chiSquareTestHomogeneityChi-square test for homogeneityUsed for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom
dersimonianLairdMethodDersimonian-Laird methodUsed for Dersimonian-Laird method of tau estimation, no additional elements needed
pauleMandelMethodPaule-Mandel methodUsed for Paule-Mandel method of tau estimation, no additional elements needed
restrictedLikelihoodRestricted Maximum Likelihood methodUsed for Restricted Maximum Likelihood method of tau estimation, no additional elements needed
maximumLikelihoodMaximum Likelihood methodUsed for Maximum Likelihood method of tau estimation, no additional elements needed
empiricalBayesEmpirical Bayes methodUsed for Empirical Bayes method of tau estimation, no additional elements needed
hunterSchmidtHunter-Schmidt methodUsed for Hunter-Schmidt method of tau estimation, no additional elements needed
sidikJonkmanSidik-Jonkman methodUsed for Sidik-Jonkman method of tau estimation, no additional elements needed
hedgesMethodHedges methodUsed for Hedges method of tau estimation, no additional elements needed
tauDersimonianLairdDersimonian-Laird methodDersimonian-Laird method for tau squared
tauPauleMandelPaule-Mandel methodPaule-Mandel method for tau squared
tauRestrictedMaximumLikelihoodRestricted Maximum Likelihood methodRestricted Maximum Likelihood method for tau squared
tauMaximumLikelihoodMaximum Likelihood methodMaximum Likelihood method for tau squared
tauEmpiricalBayesEmpirical Bayes methodEmpirical Bayes method for tau squared
tauHunterSchmidtHunter-Schmidt methodHunter-Schmidt method for tau squared
tauSidikJonkmanSidik-Jonkman methodSidik-Jonkman method for tau squared
tauHedgesHedges methodHedges method for tau squared
poolMantelHaenzselMantel-Haenszel methodMantel-Haenszel method for pooling in meta-analysis
poolInverseVarianceInverse variance methodInverse variance method for pooling in meta-analysis
poolPetoPeto methodPeto method for pooling in meta-analysis
poolGeneralizedLinearMixedModelGeneralized linear mixed model (GLMM)Generalized linear mixed model (GLMM) method for pooling in meta-analysis

 

See the full registry of value sets defined as part of FHIR.


Explanation of the columns that may appear on this page:

LvlA few code lists that FHIR defines are hierarchical - each code is assigned a level. For value sets, levels are mostly used to organize codes for user convenience, but may follow code system hierarchy - see Code System for further information
SourceThe source of the definition of the code (when the value set draws in codes defined elsewhere)
CodeThe code (used as the code in the resource instance). If the code is in italics, this indicates that the code is not selectable ('Abstract')
DisplayThe display (used in the display element of a Coding). If there is no display, implementers should not simply display the code, but map the concept into their application
DefinitionAn explanation of the meaning of the concept
CommentsAdditional notes about how to use the code