Release 4B Snapshot #1

This page is part of the FHIR Specification v4.3.0-snapshot1: R4B Snapshot to support the Jan 2022 Connectathon. About the R4B version of FHIR. The current officially released version is 4.3.0. For a full list of available versions, see the Directory of published versions . Page versions: R5 R4B

4.3.14.464 Code System http://terminology.hl7.org/CodeSystem/statistic-model-code

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

This is a code system defined by the FHIR project.

Summary

Defining URL:http://terminology.hl7.org/CodeSystem/statistic-model-code
Version:4.3.0-snapshot1
Name:StatisticModelCode
Title:StatisticModelCode
Definition:

The role that the assertion variable plays.

Committee:Clinical Decision Support Work Group
OID:2.16.840.1.113883.4.642.3.1539 (for OID based terminology systems)
Source ResourceXML / JSON

This Code system is used in the following value sets:

  • ValueSet: StatisticModelCode (The handling of the variable in statistical analysis for exposures or outcomes.)

4.3.14.464.1 Content

This code system http://terminology.hl7.org/CodeSystem/statistic-model-code defines the following codes:

Code Display Definition
oneTailedTest one-tailed test (1 threshold) Used for one-tailed test (1 threshold), no additional elements needed
twoTailedTest two-tailed test (2 thresholds) Used for two-tailed test (2 threshold), no additional elements needed
zTest z-test Used for z-test, no additional elements needed
oneSampleTTest 1-sample t-test Used for 1-sample t-test, may be paired with "value" to express degrees of freedom
twoSampleTTest 2-sample t-test Used for 2-sample t-test, may be paired with "value" to express degrees of freedom
pairedTTest paired t-test Used for paired t-test, may be paired with "value" to express degrees of freedom
chiSquareTest Chi-square test Used for Chi-square test, may be paired with "value" to express degrees of freedom
chiSquareTestTrend Chi-square test for trend Used for Chi-square test for trend, may be paired with "value" to express degrees of freedom
pearsonCorrelation Pearson correlation Used for Pearson correlation, no additional elements needed
anova ANOVA (ANalysis Of VAriance) Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom
anovaOneWay one-way ANOVA Used for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
anovaTwoWay 2-way ANOVA without replication Used for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom
anovaTwoWayReplication 2-way ANOVA with replication Used for 2-way ANOVA with replication method of analysis, may be paired with "value" to express degrees of freedom
manova multivariate ANOVA (MANOVA) Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom
anovaThreeWay 3-way ANOVA Used for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
signTest sign test Used for sign test, no additional elements needed
wilcoxonSignedRankTest Wilcoxon signed-rank test Used for Wilcoxon signed-rank test, no additional elements needed
wilcoxonRankSumTest Wilcoxon rank-sum test Used for Wilcoxon rank-sum test, no additional elements needed
mannWhitneyUTest Mann-Whitney U test Used for Mann-Whitney U test, no additional elements needed
fishersExactTest Fisher’s exact test Used for Fisher's exact test, may be paired with "value" to express degrees of freedom
mcnemarsTest McNemar’s test Used for McNemar's test, no additional elements needed
kruskalWallisTest Kruskal Wallis test Used for Kruskal Wallis test, may be paired with "value" to express degrees of freedom
spearmanCorrelation Spearman correlation Used for Spearman correlation, no additional elements needed
kendallCorrelation Kendall correlation Used for Kendall correlation, no additional elements needed
friedmanTest Friedman test Used for Friedman test, no additional elements needed
goodmanKruskasGamma Goodman Kruska’s Gamma Used for Goodman Kruska’s Gamma, no additional elements needed
glm GLM (Generalized Linear Model) Used for GLM (Generalized Linear Model), no additional elements needed
glmProbit GLM with probit link Used for GLM with probit link, no additional elements needed
glmLogit GLM with logit link Used for GLM with logit link, no additional elements needed
glmIdentity GLM with identity link Used for GLM with identity link, no additional elements needed
glmLog GLM with log link Used for GLM with log link, no additional elements needed
glmGeneralizedLogit GLM with generalized logit link Used for GLM with generalized logit link, no additional elements needed
glmm Generalized linear mixed model (GLMM) Used for Generalized linear mixed model (GLMM), no additional elements needed
glmmProbit GLMM with probit link Used for GLMM with probit link, no additional elements needed
glmmLogit GLMM with logit link Used for GLMM with logit link, no additional elements needed
glmmIdentity GLMM with identity link Used for GLMM with identity link, no additional elements needed
glmmLog GLMM with log link Used for GLMM with log link, no additional elements needed
glmmGeneralizedLogit GLMM with generalized logit link Used for GLMM with generalized logit link, no additional elements needed
linearRegression Linear Regression Used for linear regression method of analysis, no additional elements needed
logisticRegression Logistic Regression Used for logistic regression method of analysis, no additional elements needed
polynomialRegression Polynomial Regression Used for Polynomial regression method of analysis, no additional elements needed
coxProportionalHazards Cox Proportional Hazards Used for Cox proportional hazards method of analysis, no additional elements needed
binomialDistributionRegression Binomial Distribution for Regression Used for Binomial Distribution for Regression, no additional elements needed
multinomialDistributionRegression Multinomial Distribution for Regression Used for Multinomial Distribution for Regression, no additional elements needed
poissonRegression Poisson Regression Used for Poisson Regression, no additional elements needed
negativeBinomialRegression Negative Binomial Regression Used for Negative Binomial Regression, no additional elements needed
zeroCellConstant Zero-cell adjustment with constant Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with "value" to define the constant
zeroCellContinuityCorrection Zero-cell adjustment with continuity correction Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed
adjusted Adjusted analysis Used for adjusted analysis, paired with variable element(s)
interactionTerm Interaction term Used for interaction term, paired with "value" and two or more variable elements
manteHaenszelMethod Mantel-Haenszel method Used for Mantel-Haenszel method, no additional elements needed
metaAnalysis Meta-analysis Used for meta-analysis, no additional elements needed
inverseVariance Inverse variance method Used for inverse variance method of meta-analysis, no additional elements needed
petoMethod Peto method Used for Peto method of meta-analysis, no additional elements needed
hartungKnapp Hartung-Knapp adjustment Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
modifiedHartungKnapp Modified Hartung-Knapp adjustment Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
effectsFixed Fixed-effects From a fixed-effects analysis, no additional elements needed
effectsRandom Random-effects From a random-effects analysis, no additional elements needed
chiSquareTestHomogeneity Chi-square test for homogeneity Used for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom
dersimonianLairdMethod Dersimonian-Laird method Used for Dersimonian-Laird method of tau estimation, no additional elements needed
pauleMandelMethod Paule-Mandel method Used for Paule-Mandel method of tau estimation, no additional elements needed
restrictedLikelihood Restricted Maximum Likelihood method Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed
maximumLikelihood Maximum Likelihood method Used for Maximum Likelihood method of tau estimation, no additional elements needed
empiricalBayes Empirical Bayes method Used for Empirical Bayes method of tau estimation, no additional elements needed
hunterSchmidt Hunter-Schmidt method Used for Hunter-Schmidt method of tau estimation, no additional elements needed
sidikJonkman Sidik-Jonkman method Used for Sidik-Jonkman method of tau estimation, no additional elements needed
hedgesMethod Hedges method Used for Hedges method of tau estimation, no additional elements needed
tauDersimonianLaird Dersimonian-Laird method Dersimonian-Laird method for tau squared
tauPauleMandel Paule-Mandel method Paule-Mandel method for tau squared
tauRestrictedMaximumLikelihood Restricted Maximum Likelihood method Restricted Maximum Likelihood method for tau squared
tauMaximumLikelihood Maximum Likelihood method Maximum Likelihood method for tau squared
tauEmpiricalBayes Empirical Bayes method Empirical Bayes method for tau squared
tauHunterSchmidt Hunter-Schmidt method Hunter-Schmidt method for tau squared
tauSidikJonkman Sidik-Jonkman method Sidik-Jonkman method for tau squared
tauHedges Hedges method Hedges method for tau squared
poolMantelHaenzsel Mantel-Haenszel method Mantel-Haenszel method for pooling in meta-analysis
poolInverseVariance Inverse variance method Inverse variance method for pooling in meta-analysis
poolPeto Peto method Peto method for pooling in meta-analysis
poolGeneralizedLinearMixedModel Generalized linear mixed model (GLMM) Generalized linear mixed model (GLMM) method for pooling in meta-analysis

 

See the full registry of code systems defined as part of FHIR.

Explanation of the columns that may appear on this page:

LevelA few code lists that FHIR defines are hierarchical - each code is assigned a level. 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