Snapshot 3: Connectathon 32 Base

This page is part of the FHIR Specification (v5.0.0-snapshot3: R5 Snapshot #3, to support Connectathon 32). 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

4.3.2.433 CodeSystem http://hl7.org/fhir/statistic-model-code

Clinical Decision Support icon Work Group Maturity Level: 1Trial Use Use Context: Country: World, Country: World
Official URL: http://hl7.org/fhir/statistic-model-code Version: 5.0.0-snapshot3
active as of 2021-08-05 Computable Name: StatisticModelCode
Flags: CaseSensitive, Complete. All codes ValueSet: StatisticModelCode OID: 2.16.840.1.113883.4.642.4.1938

This Code system is used in the following value sets:

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

The role that the assertion variable plays.

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

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

 

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