Release 5 Ballot

This page is part of the FHIR Specification (v5.0.0-ballot: FHIR R5 Ballot Preview). The current version which supercedes this version is 5.0.0. For a full list of available versions, see the Directory of published versions . Page versions: R5 R4B

4.3.2.471 CodeSystem 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:5.0.0-ballot
Name:StatisticModelCode
Title:StatisticModelCode
Status:draft
Definition:

The role that the assertion variable plays.

Committee:Clinical Decision Support Work Group
OID:2.16.840.1.113883.4.642.4.1938 (for OID based terminology systems)
Flags:CaseSensitive, Complete
All codes ValueSet:StatisticModelCode

This Code system is used in the following value sets:

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

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

CodeDisplayDefinitionCopy
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-testUsed for z-test, no additional elements needed 
oneSampleTTest 1-sample t-testUsed for 1-sample t-test, may be paired with "value" to express degrees of freedom 
twoSampleTTest 2-sample t-testUsed for 2-sample t-test, may be paired with "value" to express degrees of freedom 
pairedTTest paired t-testUsed for paired t-test, may be paired with "value" to express degrees of freedom 
chiSquareTest Chi-square testUsed for Chi-square test, may be paired with "value" to express degrees of freedom 
chiSquareTestTrend Chi-square test for trendUsed for Chi-square test for trend, may be paired with "value" to express degrees of freedom 
pearsonCorrelation Pearson correlationUsed 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 ANOVAUsed for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom 
anovaTwoWay 2-way ANOVA without replicationUsed for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom 
anovaTwoWayReplication 2-way ANOVA with replicationUsed 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 ANOVAUsed for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom 
signTest sign testUsed for sign test, no additional elements needed 
wilcoxonSignedRankTest Wilcoxon signed-rank testUsed for Wilcoxon signed-rank test, no additional elements needed 
wilcoxonRankSumTest Wilcoxon rank-sum testUsed for Wilcoxon rank-sum test, no additional elements needed 
mannWhitneyUTest Mann-Whitney U testUsed for Mann-Whitney U test, no additional elements needed 
fishersExactTest Fisher’s exact testUsed for Fisher's exact test, may be paired with "value" to express degrees of freedom 
mcnemarsTest McNemar’s testUsed for McNemar's test, no additional elements needed 
kruskalWallisTest Kruskal Wallis testUsed for Kruskal Wallis test, may be paired with "value" to express degrees of freedom 
spearmanCorrelation Spearman correlationUsed for Spearman correlation, no additional elements needed 
kendallCorrelation Kendall correlationUsed for Kendall correlation, no additional elements needed 
friedmanTest Friedman testUsed for Friedman test, no additional elements needed 
goodmanKruskasGamma Goodman Kruska’s GammaUsed 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 linkUsed for GLM with probit link, no additional elements needed 
glmLogit GLM with logit linkUsed for GLM with logit link, no additional elements needed 
glmIdentity GLM with identity linkUsed for GLM with identity link, no additional elements needed 
glmLog GLM with log linkUsed for GLM with log link, no additional elements needed 
glmGeneralizedLogit GLM with generalized logit linkUsed 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 linkUsed for GLMM with probit link, no additional elements needed 
glmmLogit GLMM with logit linkUsed for GLMM with logit link, no additional elements needed 
glmmIdentity GLMM with identity linkUsed for GLMM with identity link, no additional elements needed 
glmmLog GLMM with log linkUsed for GLMM with log link, no additional elements needed 
glmmGeneralizedLogit GLMM with generalized logit linkUsed for GLMM with generalized logit link, no additional elements needed 
linearRegression Linear RegressionUsed for linear regression method of analysis, no additional elements needed 
logisticRegression Logistic RegressionUsed for logistic regression method of analysis, no additional elements needed 
polynomialRegression Polynomial RegressionUsed for Polynomial regression method of analysis, no additional elements needed 
coxProportionalHazards Cox Proportional HazardsUsed for Cox proportional hazards method of analysis, no additional elements needed 
binomialDistributionRegression Binomial Distribution for RegressionUsed for Binomial Distribution for Regression, no additional elements needed 
multinomialDistributionRegression Multinomial Distribution for RegressionUsed for Multinomial Distribution for Regression, no additional elements needed 
poissonRegression Poisson RegressionUsed for Poisson Regression, no additional elements needed 
negativeBinomialRegression Negative Binomial RegressionUsed for Negative Binomial Regression, no additional elements needed 
zeroCellConstant Zero-cell adjustment with constantZero-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 correctionZero-cell adjustment done by treatment arm continuity correction, no additional elements needed 
adjusted Adjusted analysisUsed for adjusted analysis, paired with variable element(s) 
interactionTerm Interaction termUsed for interaction term, paired with "value" and two or more variable elements 
manteHaenszelMethod Mantel-Haenszel methodUsed for Mantel-Haenszel method, no additional elements needed 
metaAnalysis Meta-analysisUsed for meta-analysis, no additional elements needed 
inverseVariance Inverse variance methodUsed for inverse variance method of meta-analysis, no additional elements needed 
petoMethod Peto methodUsed for Peto method of meta-analysis, no additional elements needed 
hartungKnapp Hartung-Knapp adjustmentHartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed 
modifiedHartungKnapp Modified Hartung-Knapp adjustmentModified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed 
effectsFixed Fixed-effectsFrom a fixed-effects analysis, no additional elements needed 
effectsRandom Random-effectsFrom a random-effects analysis, no additional elements needed 
chiSquareTestHomogeneity Chi-square test for homogeneityUsed for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom 
dersimonianLairdMethod Dersimonian-Laird methodUsed for Dersimonian-Laird method of tau estimation, no additional elements needed 
pauleMandelMethod Paule-Mandel methodUsed for Paule-Mandel method of tau estimation, no additional elements needed 
restrictedLikelihood Restricted Maximum Likelihood methodUsed for Restricted Maximum Likelihood method of tau estimation, no additional elements needed 
maximumLikelihood Maximum Likelihood methodUsed for Maximum Likelihood method of tau estimation, no additional elements needed 
empiricalBayes Empirical Bayes methodUsed for Empirical Bayes method of tau estimation, no additional elements needed 
hunterSchmidt Hunter-Schmidt methodUsed for Hunter-Schmidt method of tau estimation, no additional elements needed 
sidikJonkman Sidik-Jonkman methodUsed for Sidik-Jonkman method of tau estimation, no additional elements needed 
hedgesMethod Hedges methodUsed for Hedges method of tau estimation, no additional elements needed 
tauDersimonianLaird Dersimonian-Laird methodDersimonian-Laird method for tau squared 
tauPauleMandel Paule-Mandel methodPaule-Mandel method for tau squared 
tauRestrictedMaximumLikelihood Restricted Maximum Likelihood methodRestricted Maximum Likelihood method for tau squared 
tauMaximumLikelihood Maximum Likelihood methodMaximum Likelihood method for tau squared 
tauEmpiricalBayes Empirical Bayes methodEmpirical Bayes method for tau squared 
tauHunterSchmidt Hunter-Schmidt methodHunter-Schmidt method for tau squared 
tauSidikJonkman Sidik-Jonkman methodSidik-Jonkman method for tau squared 
tauHedges Hedges methodHedges method for tau squared 
poolMantelHaenzsel Mantel-Haenszel methodMantel-Haenszel method for pooling in meta-analysis 
poolInverseVariance Inverse variance methodInverse variance method for pooling in meta-analysis 
poolPeto Peto methodPeto 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