{ "resourceType": "CodeSystem", "id": "statistic-model-code", "meta": { "lastUpdated": "2023-03-26T15:21:02.749+11:00", "profile": [ "http://hl7.org/fhir/StructureDefinition/shareablecodesystem" ] }, "text": { "status": "generated", "div": "

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

CodeDisplayDefinition
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
" }, "extension": [ { "url": "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg", "valueCode": "cds" }, { "url": "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status", "valueCode": "trial-use" }, { "url": "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm", "valueInteger": 1 } ], "url": "http://hl7.org/fhir/statistic-model-code", "identifier": [ { "system": "urn:ietf:rfc:3986", "value": "urn:oid:2.16.840.1.113883.4.642.4.1938" } ], "version": "5.0.0", "name": "StatisticModelCode", "title": "Statistic Model Code", "status": "active", "experimental": false, "date": "2021-08-05T12:00:00+11:00", "publisher": "HL7 (FHIR Project)", "contact": [ { "telecom": [ { "system": "url", "value": "http://hl7.org/fhir" }, { "system": "email", "value": "fhir@lists.hl7.org" } ] } ], "description": "The role that the assertion variable plays.", "jurisdiction": [ { "coding": [ { "system": "http://unstats.un.org/unsd/methods/m49/m49.htm", "code": "001", "display": "World" } ] } ], "caseSensitive": true, "valueSet": "http://hl7.org/fhir/ValueSet/statistic-model-code", "content": "complete", "concept": [ { "code": "oneTailedTest", "display": "one-tailed test (1 threshold)", "definition": "Used for one-tailed test (1 threshold), no additional elements needed" }, { "code": "twoTailedTest", "display": "two-tailed test (2 thresholds)", "definition": "Used for two-tailed test (2 threshold), no additional elements needed" }, { "code": "zTest", "display": "z-test", "definition": "Used for z-test, no additional elements needed" }, { "code": "oneSampleTTest", "display": "1-sample t-test", "definition": "Used for 1-sample t-test, may be paired with \"value\" to express degrees of freedom" }, { "code": "twoSampleTTest", "display": "2-sample t-test", "definition": "Used for 2-sample t-test, may be paired with \"value\" to express degrees of freedom" }, { "code": "pairedTTest", "display": "paired t-test", "definition": "Used for paired t-test, may be paired with \"value\" to express degrees of freedom" }, { "code": "chiSquareTest", "display": "Chi-square test", "definition": "Used for Chi-square test, may be paired with \"value\" to express degrees of freedom" }, { "code": "chiSquareTestTrend", "display": "Chi-square test for trend", "definition": "Used for Chi-square test for trend, may be paired with \"value\" to express degrees of freedom" }, { "code": "pearsonCorrelation", "display": "Pearson correlation", "definition": "Used for Pearson correlation, no additional elements needed" }, { "code": "anova", "display": "ANOVA (ANalysis Of VAriance)", "definition": "Used for ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom" }, { "code": "anovaOneWay", "display": "one-way ANOVA", "definition": "Used for one-way ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom" }, { "code": "anovaTwoWay", "display": "2-way ANOVA without replication", "definition": "Used for 2-way ANOVA without replication method of analysis, may be paired with \"value\" to express degrees of freedom" }, { "code": "anovaTwoWayReplication", "display": "2-way ANOVA with replication", "definition": "Used for 2-way ANOVA with replication method of analysis, may be paired with \"value\" to express degrees of freedom" }, { "code": "manova", "display": "multivariate ANOVA (MANOVA)", "definition": "Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with \"value\" to express degrees of freedom" }, { "code": "anovaThreeWay", "display": "3-way ANOVA", "definition": "Used for 3-way ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom" }, { "code": "signTest", "display": "sign test", "definition": "Used for sign test, no additional elements needed" }, { "code": "wilcoxonSignedRankTest", "display": "Wilcoxon signed-rank test", "definition": "Used for Wilcoxon signed-rank test, no additional elements needed" }, { "code": "wilcoxonRankSumTest", "display": "Wilcoxon rank-sum test", "definition": "Used for Wilcoxon rank-sum test, no additional elements needed" }, { "code": "mannWhitneyUTest", "display": "Mann-Whitney U test", "definition": "Used for Mann-Whitney U test, no additional elements needed" }, { "code": "fishersExactTest", "display": "Fisher’s exact test", "definition": "Used for Fisher's exact test, may be paired with \"value\" to express degrees of freedom" }, { "code": "mcnemarsTest", "display": "McNemar’s test", "definition": "Used for McNemar's test, no additional elements needed" }, { "code": "kruskalWallisTest", "display": "Kruskal Wallis test", "definition": "Used for Kruskal Wallis test, may be paired with \"value\" to express degrees of freedom" }, { "code": "spearmanCorrelation", "display": "Spearman correlation", "definition": "Used for Spearman correlation, no additional elements needed" }, { "code": "kendallCorrelation", "display": "Kendall correlation", "definition": "Used for Kendall correlation, no additional elements needed" }, { "code": "friedmanTest", "display": "Friedman test", "definition": "Used for Friedman test, no additional elements needed" }, { "code": "goodmanKruskasGamma", "display": "Goodman Kruska’s Gamma", "definition": "Used for Goodman Kruska’s Gamma, no additional elements needed" }, { "code": "glm", "display": "GLM (Generalized Linear Model)", "definition": "Used for GLM (Generalized Linear Model), no additional elements needed" }, { "code": "glmProbit", "display": "GLM with probit link", "definition": "Used for GLM with probit link, no additional elements needed" }, { "code": "glmLogit", "display": "GLM with logit link", "definition": "Used for GLM with logit link, no additional elements needed" }, { "code": "glmIdentity", "display": "GLM with identity link", "definition": "Used for GLM with identity link, no additional elements needed" }, { "code": "glmLog", "display": "GLM with log link", "definition": "Used for GLM with log link, no additional elements needed" }, { "code": "glmGeneralizedLogit", "display": "GLM with generalized logit link", "definition": "Used for GLM with generalized logit link, no additional elements needed" }, { "code": "glmm", "display": "Generalized linear mixed model (GLMM)", "definition": "Used for Generalized linear mixed model (GLMM), no additional elements needed" }, { "code": "glmmProbit", "display": "GLMM with probit link", "definition": "Used for GLMM with probit link, no additional elements needed" }, { "code": "glmmLogit", "display": "GLMM with logit link", "definition": "Used for GLMM with logit link, no additional elements needed" }, { "code": "glmmIdentity", "display": "GLMM with identity link", "definition": "Used for GLMM with identity link, no additional elements needed" }, { "code": "glmmLog", "display": "GLMM with log link", "definition": "Used for GLMM with log link, no additional elements needed" }, { "code": "glmmGeneralizedLogit", "display": "GLMM with generalized logit link", "definition": "Used for GLMM with generalized logit link, no additional elements needed" }, { "code": "linearRegression", "display": "Linear Regression", "definition": "Used for linear regression method of analysis, no additional elements needed" }, { "code": "logisticRegression", "display": "Logistic Regression", "definition": "Used for logistic regression method of analysis, no additional elements needed" }, { "code": "polynomialRegression", "display": "Polynomial Regression", "definition": "Used for Polynomial regression method of analysis, no additional elements needed" }, { "code": "coxProportionalHazards", "display": "Cox Proportional Hazards", "definition": "Used for Cox proportional hazards method of analysis, no additional elements needed" }, { "code": "binomialDistributionRegression", "display": "Binomial Distribution for Regression", "definition": "Used for Binomial Distribution for Regression, no additional elements needed" }, { "code": "multinomialDistributionRegression", "display": "Multinomial Distribution for Regression", "definition": "Used for Multinomial Distribution for Regression, no additional elements needed" }, { "code": "poissonRegression", "display": "Poisson Regression", "definition": "Used for Poisson Regression, no additional elements needed" }, { "code": "negativeBinomialRegression", "display": "Negative Binomial Regression", "definition": "Used for Negative Binomial Regression, no additional elements needed" }, { "code": "zeroCellConstant", "display": "Zero-cell adjustment with constant", "definition": "Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with \"value\" to define the constant" }, { "code": "zeroCellContinuityCorrection", "display": "Zero-cell adjustment with continuity correction", "definition": "Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed" }, { "code": "adjusted", "display": "Adjusted analysis", "definition": "Used for adjusted analysis, paired with variable element(s)" }, { "code": "interactionTerm", "display": "Interaction term", "definition": "Used for interaction term, paired with \"value\" and two or more variable elements" }, { "code": "manteHaenszelMethod", "display": "Mantel-Haenszel method", "definition": "Used for Mantel-Haenszel method, no additional elements needed" }, { "code": "metaAnalysis", "display": "Meta-analysis", "definition": "Used for meta-analysis, no additional elements needed" }, { "code": "inverseVariance", "display": "Inverse variance method", "definition": "Used for inverse variance method of meta-analysis, no additional elements needed" }, { "code": "petoMethod", "display": "Peto method", "definition": "Used for Peto method of meta-analysis, no additional elements needed" }, { "code": "hartungKnapp", "display": "Hartung-Knapp adjustment", "definition": "Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed" }, { "code": "modifiedHartungKnapp", "display": "Modified Hartung-Knapp adjustment", "definition": "Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed" }, { "code": "effectsFixed", "display": "Fixed-effects", "definition": "From a fixed-effects analysis, no additional elements needed" }, { "code": "effectsRandom", "display": "Random-effects", "definition": "From a random-effects analysis, no additional elements needed" }, { "code": "chiSquareTestHomogeneity", "display": "Chi-square test for homogeneity", "definition": "Used for Chi-square test for homogeneity, may be paired with \"value\" to express degrees of freedom" }, { "code": "dersimonianLairdMethod", "display": "Dersimonian-Laird method", "definition": "Used for Dersimonian-Laird method of tau estimation, no additional elements needed" }, { "code": "pauleMandelMethod", "display": "Paule-Mandel method", "definition": "Used for Paule-Mandel method of tau estimation, no additional elements needed" }, { "code": "restrictedLikelihood", "display": "Restricted Maximum Likelihood method", "definition": "Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed" }, { "code": "maximumLikelihood", "display": "Maximum Likelihood method", "definition": "Used for Maximum Likelihood method of tau estimation, no additional elements needed" }, { "code": "empiricalBayes", "display": "Empirical Bayes method", "definition": "Used for Empirical Bayes method of tau estimation, no additional elements needed" }, { "code": "hunterSchmidt", "display": "Hunter-Schmidt method", "definition": "Used for Hunter-Schmidt method of tau estimation, no additional elements needed" }, { "code": "sidikJonkman", "display": "Sidik-Jonkman method", "definition": "Used for Sidik-Jonkman method of tau estimation, no additional elements needed" }, { "code": "hedgesMethod", "display": "Hedges method", "definition": "Used for Hedges method of tau estimation, no additional elements needed" }, { "code": "tauDersimonianLaird", "display": "Dersimonian-Laird method", "definition": "Dersimonian-Laird method for tau squared" }, { "code": "tauPauleMandel", "display": "Paule-Mandel method", "definition": "Paule-Mandel method for tau squared" }, { "code": "tauRestrictedMaximumLikelihood", "display": "Restricted Maximum Likelihood method", "definition": "Restricted Maximum Likelihood method for tau squared" }, { "code": "tauMaximumLikelihood", "display": "Maximum Likelihood method", "definition": "Maximum Likelihood method for tau squared" }, { "code": "tauEmpiricalBayes", "display": "Empirical Bayes method", "definition": "Empirical Bayes method for tau squared" }, { "code": "tauHunterSchmidt", "display": "Hunter-Schmidt method", "definition": "Hunter-Schmidt method for tau squared" }, { "code": "tauSidikJonkman", "display": "Sidik-Jonkman method", "definition": "Sidik-Jonkman method for tau squared" }, { "code": "tauHedges", "display": "Hedges method", "definition": "Hedges method for tau squared" }, { "code": "poolMantelHaenzsel", "display": "Mantel-Haenszel method", "definition": "Mantel-Haenszel method for pooling in meta-analysis" }, { "code": "poolInverseVariance", "display": "Inverse variance method", "definition": "Inverse variance method for pooling in meta-analysis" }, { "code": "poolPeto", "display": "Peto method", "definition": "Peto method for pooling in meta-analysis" }, { "code": "poolGeneralizedLinearMixedModel", "display": "Generalized linear mixed model (GLMM)", "definition": "Generalized linear mixed model (GLMM) method for pooling in meta-analysis" } ] }