{"caseSensitive":true,"concept":[{"code":"oneTailedTest","definition":"Used for one-tailed test (1 threshold), no additional elements needed","display":"one-tailed test (1 threshold)"},{"code":"twoTailedTest","definition":"Used for two-tailed test (2 threshold), no additional elements needed","display":"two-tailed test (2 thresholds)"},{"code":"zTest","definition":"Used for z-test, no additional elements needed","display":"z-test"},{"code":"oneSampleTTest","definition":"Used for 1-sample t-test, may be paired with \"value\" to express degrees of freedom","display":"1-sample t-test"},{"code":"twoSampleTTest","definition":"Used for 2-sample t-test, may be paired with \"value\" to express degrees of freedom","display":"2-sample t-test"},{"code":"pairedTTest","definition":"Used for paired t-test, may be paired with \"value\" to express degrees of freedom","display":"paired t-test"},{"code":"chiSquareTest","definition":"Used for Chi-square test, may be paired with \"value\" to express degrees of freedom","display":"Chi-square test"},{"code":"chiSquareTestTrend","definition":"Used for Chi-square test for trend, may be paired with \"value\" to express degrees of freedom","display":"Chi-square test for trend"},{"code":"pearsonCorrelation","definition":"Used for Pearson correlation, no additional elements needed","display":"Pearson correlation"},{"code":"anova","definition":"Used for ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom","display":"ANOVA (ANalysis Of VAriance)"},{"code":"anovaOneWay","definition":"Used for one-way ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom","display":"one-way ANOVA"},{"code":"anovaTwoWay","definition":"Used for 2-way ANOVA without replication method of analysis, may be paired with \"value\" to express degrees of freedom","display":"2-way ANOVA without replication"},{"code":"anovaTwoWayReplication","definition":"Used for 2-way ANOVA with replication method of analysis, may be paired with \"value\" to express degrees of freedom","display":"2-way ANOVA with replication"},{"code":"manova","definition":"Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with \"value\" to express degrees of freedom","display":"multivariate ANOVA (MANOVA)"},{"code":"anovaThreeWay","definition":"Used for 3-way ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom","display":"3-way ANOVA"},{"code":"signTest","definition":"Used for sign test, no additional elements needed","display":"sign test"},{"code":"wilcoxonSignedRankTest","definition":"Used for Wilcoxon signed-rank test, no additional elements needed","display":"Wilcoxon signed-rank test"},{"code":"wilcoxonRankSumTest","definition":"Used for Wilcoxon rank-sum test, no additional elements needed","display":"Wilcoxon rank-sum test"},{"code":"mannWhitneyUTest","definition":"Used for Mann-Whitney U test, no additional elements needed","display":"Mann-Whitney U test"},{"code":"fishersExactTest","definition":"Used for Fisher's exact test, may be paired with \"value\" to express degrees of freedom","display":"Fisher’s exact test"},{"code":"mcnemarsTest","definition":"Used for McNemar's test, no additional elements needed","display":"McNemar’s test"},{"code":"kruskalWallisTest","definition":"Used for Kruskal Wallis test, may be paired with \"value\" to express degrees of freedom","display":"Kruskal Wallis test"},{"code":"spearmanCorrelation","definition":"Used for Spearman correlation, no additional elements needed","display":"Spearman correlation"},{"code":"kendallCorrelation","definition":"Used for Kendall correlation, no additional elements needed","display":"Kendall correlation"},{"code":"friedmanTest","definition":"Used for Friedman test, no additional elements needed","display":"Friedman test"},{"code":"goodmanKruskasGamma","definition":"Used for Goodman Kruska’s Gamma, no additional elements needed","display":"Goodman Kruska’s Gamma"},{"code":"glm","definition":"Used for GLM (Generalized Linear Model), no additional elements needed","display":"GLM (Generalized Linear Model)"},{"code":"glmProbit","definition":"Used for GLM with probit link, no additional elements needed","display":"GLM with probit link"},{"code":"glmLogit","definition":"Used for GLM with logit link, no additional elements needed","display":"GLM with logit link"},{"code":"glmIdentity","definition":"Used for GLM with identity link, no additional elements needed","display":"GLM with identity link"},{"code":"glmLog","definition":"Used for GLM with log link, no additional elements needed","display":"GLM with log link"},{"code":"glmGeneralizedLogit","definition":"Used for GLM with generalized logit link, no additional elements needed","display":"GLM with generalized logit link"},{"code":"glmm","definition":"Used for Generalized linear mixed model (GLMM), no additional elements needed","display":"Generalized linear mixed model (GLMM)"},{"code":"glmmProbit","definition":"Used for GLMM with probit link, no additional elements needed","display":"GLMM with probit link"},{"code":"glmmLogit","definition":"Used for GLMM with logit link, no additional elements needed","display":"GLMM with logit link"},{"code":"glmmIdentity","definition":"Used for GLMM with identity link, no additional elements needed","display":"GLMM with identity link"},{"code":"glmmLog","definition":"Used for GLMM with log link, no additional elements needed","display":"GLMM with log link"},{"code":"glmmGeneralizedLogit","definition":"Used for GLMM with generalized logit link, no additional elements needed","display":"GLMM with generalized logit link"},{"code":"linearRegression","definition":"Used for linear regression method of analysis, no additional elements needed","display":"Linear Regression"},{"code":"logisticRegression","definition":"Used for logistic regression method of analysis, no additional elements needed","display":"Logistic Regression"},{"code":"polynomialRegression","definition":"Used for Polynomial regression method of analysis, no additional elements needed","display":"Polynomial Regression"},{"code":"coxProportionalHazards","definition":"Used for Cox proportional hazards method of analysis, no additional elements needed","display":"Cox Proportional Hazards"},{"code":"binomialDistributionRegression","definition":"Used for Binomial Distribution for Regression, no additional elements needed","display":"Binomial Distribution for Regression"},{"code":"multinomialDistributionRegression","definition":"Used for Multinomial Distribution for Regression, no additional elements needed","display":"Multinomial Distribution for Regression"},{"code":"poissonRegression","definition":"Used for Poisson Regression, no additional elements needed","display":"Poisson Regression"},{"code":"negativeBinomialRegression","definition":"Used for Negative Binomial Regression, no additional elements needed","display":"Negative Binomial Regression"},{"code":"zeroCellConstant","definition":"Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with \"value\" to define the constant","display":"Zero-cell adjustment with constant"},{"code":"zeroCellContinuityCorrection","definition":"Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed","display":"Zero-cell adjustment with continuity correction"},{"code":"adjusted","definition":"Used for adjusted analysis, paired with variable element(s)","display":"Adjusted analysis"},{"code":"interactionTerm","definition":"Used for interaction term, paired with \"value\" and two or more variable elements","display":"Interaction term"},{"code":"manteHaenszelMethod","definition":"Used for Mantel-Haenszel method, no additional elements needed","display":"Mantel-Haenszel method"},{"code":"metaAnalysis","definition":"Used for meta-analysis, no additional elements needed","display":"Meta-analysis"},{"code":"inverseVariance","definition":"Used for inverse variance method of meta-analysis, no additional elements needed","display":"Inverse variance method"},{"code":"petoMethod","definition":"Used for Peto method of meta-analysis, no additional elements needed","display":"Peto method"},{"code":"hartungKnapp","definition":"Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed","display":"Hartung-Knapp adjustment"},{"code":"modifiedHartungKnapp","definition":"Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed","display":"Modified Hartung-Knapp adjustment"},{"code":"effectsFixed","definition":"From a fixed-effects analysis, no additional elements needed","display":"Fixed-effects"},{"code":"effectsRandom","definition":"From a random-effects analysis, no additional elements needed","display":"Random-effects"},{"code":"chiSquareTestHomogeneity","definition":"Used for Chi-square test for homogeneity, may be paired with \"value\" to express degrees of freedom","display":"Chi-square test for homogeneity"},{"code":"dersimonianLairdMethod","definition":"Used for Dersimonian-Laird method of tau estimation, no additional elements needed","display":"Dersimonian-Laird method"},{"code":"pauleMandelMethod","definition":"Used for Paule-Mandel method of tau estimation, no additional elements needed","display":"Paule-Mandel method"},{"code":"restrictedLikelihood","definition":"Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed","display":"Restricted Maximum Likelihood method"},{"code":"maximumLikelihood","definition":"Used for Maximum Likelihood method of tau estimation, no additional elements needed","display":"Maximum Likelihood method"},{"code":"empiricalBayes","definition":"Used for Empirical Bayes method of tau estimation, no additional elements needed","display":"Empirical Bayes method"},{"code":"hunterSchmidt","definition":"Used for Hunter-Schmidt method of tau estimation, no additional elements needed","display":"Hunter-Schmidt method"},{"code":"sidikJonkman","definition":"Used for Sidik-Jonkman method of tau estimation, no additional elements needed","display":"Sidik-Jonkman method"},{"code":"hedgesMethod","definition":"Used for Hedges method of tau estimation, no additional elements needed","display":"Hedges method"},{"code":"tauDersimonianLaird","definition":"Dersimonian-Laird method for tau squared","display":"Dersimonian-Laird method"},{"code":"tauPauleMandel","definition":"Paule-Mandel method for tau squared","display":"Paule-Mandel method"},{"code":"tauRestrictedMaximumLikelihood","definition":"Restricted Maximum Likelihood method for tau squared","display":"Restricted Maximum Likelihood method"},{"code":"tauMaximumLikelihood","definition":"Maximum Likelihood method for tau squared","display":"Maximum Likelihood method"},{"code":"tauEmpiricalBayes","definition":"Empirical Bayes method for tau squared","display":"Empirical Bayes method"},{"code":"tauHunterSchmidt","definition":"Hunter-Schmidt method for tau squared","display":"Hunter-Schmidt method"},{"code":"tauSidikJonkman","definition":"Sidik-Jonkman method for tau squared","display":"Sidik-Jonkman method"},{"code":"tauHedges","definition":"Hedges method for tau squared","display":"Hedges method"},{"code":"poolMantelHaenzsel","definition":"Mantel-Haenszel method for pooling in meta-analysis","display":"Mantel-Haenszel method"},{"code":"poolInverseVariance","definition":"Inverse variance method for pooling in meta-analysis","display":"Inverse variance method"},{"code":"poolPeto","definition":"Peto method for pooling in meta-analysis","display":"Peto method"},{"code":"poolGeneralizedLinearMixedModel","definition":"Generalized linear mixed model (GLMM) method for pooling in meta-analysis","display":"Generalized linear mixed model (GLMM)"}],"contact":[{"telecom":[{"system":"url","value":"http://hl7.org/fhir"},{"system":"email","value":"fhir@lists.hl7.org"}]}],"content":"complete","date":"2021-08-05T12:00:00+11:00","description":"The role that the assertion variable plays.","experimental":false,"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}],"id":"statistic-model-code","identifier":[{"system":"urn:ietf:rfc:3986","value":"urn:oid:2.16.840.1.113883.4.642.4.1938"}],"jurisdiction":[{"coding":[{"code":"001","display":"World","system":"http://unstats.un.org/unsd/methods/m49/m49.htm"}]}],"meta":{"lastUpdated":"2023-03-26T15:21:02.749+11:00","profile":["http://hl7.org/fhir/StructureDefinition/shareablecodesystem"]},"name":"StatisticModelCode","publisher":"HL7 (FHIR Project)","resourceType":"CodeSystem","status":"active","text":{"div":"<div xmlns=\"http://www.w3.org/1999/xhtml\"><p>This code system <code>http://hl7.org/fhir/statistic-model-code</code> defines the following codes:</p><table class=\"codes\"><tr><td style=\"white-space:nowrap\"><b>Code</b></td><td><b>Display</b></td><td><b>Definition</b></td></tr><tr><td style=\"white-space:nowrap\">oneTailedTest<a name=\"statistic-model-code-oneTailedTest\"> </a></td><td>one-tailed test (1 threshold)</td><td>Used for one-tailed test (1 threshold), no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">twoTailedTest<a name=\"statistic-model-code-twoTailedTest\"> </a></td><td>two-tailed test (2 thresholds)</td><td>Used for two-tailed test (2 threshold), no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">zTest<a name=\"statistic-model-code-zTest\"> </a></td><td>z-test</td><td>Used for z-test, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">oneSampleTTest<a name=\"statistic-model-code-oneSampleTTest\"> </a></td><td>1-sample t-test</td><td>Used for 1-sample t-test, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">twoSampleTTest<a name=\"statistic-model-code-twoSampleTTest\"> </a></td><td>2-sample t-test</td><td>Used for 2-sample t-test, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">pairedTTest<a name=\"statistic-model-code-pairedTTest\"> </a></td><td>paired t-test</td><td>Used for paired t-test, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">chiSquareTest<a name=\"statistic-model-code-chiSquareTest\"> </a></td><td>Chi-square test</td><td>Used for Chi-square test, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">chiSquareTestTrend<a name=\"statistic-model-code-chiSquareTestTrend\"> </a></td><td>Chi-square test for trend</td><td>Used for Chi-square test for trend, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">pearsonCorrelation<a name=\"statistic-model-code-pearsonCorrelation\"> </a></td><td>Pearson correlation</td><td>Used for Pearson correlation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">anova<a name=\"statistic-model-code-anova\"> </a></td><td>ANOVA (ANalysis Of VAriance)</td><td>Used for ANOVA method of analysis, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">anovaOneWay<a name=\"statistic-model-code-anovaOneWay\"> </a></td><td>one-way ANOVA</td><td>Used for one-way ANOVA method of analysis, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">anovaTwoWay<a name=\"statistic-model-code-anovaTwoWay\"> </a></td><td>2-way ANOVA without replication</td><td>Used for 2-way ANOVA without replication method of analysis, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">anovaTwoWayReplication<a name=\"statistic-model-code-anovaTwoWayReplication\"> </a></td><td>2-way ANOVA with replication</td><td>Used for 2-way ANOVA with replication method of analysis, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">manova<a name=\"statistic-model-code-manova\"> </a></td><td>multivariate ANOVA (MANOVA)</td><td>Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">anovaThreeWay<a name=\"statistic-model-code-anovaThreeWay\"> </a></td><td>3-way ANOVA</td><td>Used for 3-way ANOVA method of analysis, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">signTest<a name=\"statistic-model-code-signTest\"> </a></td><td>sign test</td><td>Used for sign test, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">wilcoxonSignedRankTest<a name=\"statistic-model-code-wilcoxonSignedRankTest\"> </a></td><td>Wilcoxon signed-rank test</td><td>Used for Wilcoxon signed-rank test, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">wilcoxonRankSumTest<a name=\"statistic-model-code-wilcoxonRankSumTest\"> </a></td><td>Wilcoxon rank-sum test</td><td>Used for Wilcoxon rank-sum test, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">mannWhitneyUTest<a name=\"statistic-model-code-mannWhitneyUTest\"> </a></td><td>Mann-Whitney U test</td><td>Used for Mann-Whitney U test, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">fishersExactTest<a name=\"statistic-model-code-fishersExactTest\"> </a></td><td>Fisher’s exact test</td><td>Used for Fisher's exact test, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">mcnemarsTest<a name=\"statistic-model-code-mcnemarsTest\"> </a></td><td>McNemar’s test</td><td>Used for McNemar's test, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">kruskalWallisTest<a name=\"statistic-model-code-kruskalWallisTest\"> </a></td><td>Kruskal Wallis test</td><td>Used for Kruskal Wallis test, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">spearmanCorrelation<a name=\"statistic-model-code-spearmanCorrelation\"> </a></td><td>Spearman correlation</td><td>Used for Spearman correlation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">kendallCorrelation<a name=\"statistic-model-code-kendallCorrelation\"> </a></td><td>Kendall correlation</td><td>Used for Kendall correlation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">friedmanTest<a name=\"statistic-model-code-friedmanTest\"> </a></td><td>Friedman test</td><td>Used for Friedman test, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">goodmanKruskasGamma<a name=\"statistic-model-code-goodmanKruskasGamma\"> </a></td><td>Goodman Kruska’s Gamma</td><td>Used for Goodman Kruska’s Gamma, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glm<a name=\"statistic-model-code-glm\"> </a></td><td>GLM (Generalized Linear Model)</td><td>Used for GLM (Generalized Linear Model), no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmProbit<a name=\"statistic-model-code-glmProbit\"> </a></td><td>GLM with probit link</td><td>Used for GLM with probit link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmLogit<a name=\"statistic-model-code-glmLogit\"> </a></td><td>GLM with logit link</td><td>Used for GLM with logit link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmIdentity<a name=\"statistic-model-code-glmIdentity\"> </a></td><td>GLM with identity link</td><td>Used for GLM with identity link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmLog<a name=\"statistic-model-code-glmLog\"> </a></td><td>GLM with log link</td><td>Used for GLM with log link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmGeneralizedLogit<a name=\"statistic-model-code-glmGeneralizedLogit\"> </a></td><td>GLM with generalized logit link</td><td>Used for GLM with generalized logit link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmm<a name=\"statistic-model-code-glmm\"> </a></td><td>Generalized linear mixed model (GLMM)</td><td>Used for Generalized linear mixed model (GLMM), no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmmProbit<a name=\"statistic-model-code-glmmProbit\"> </a></td><td>GLMM with probit link</td><td>Used for GLMM with probit link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmmLogit<a name=\"statistic-model-code-glmmLogit\"> </a></td><td>GLMM with logit link</td><td>Used for GLMM with logit link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmmIdentity<a name=\"statistic-model-code-glmmIdentity\"> </a></td><td>GLMM with identity link</td><td>Used for GLMM with identity link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmmLog<a name=\"statistic-model-code-glmmLog\"> </a></td><td>GLMM with log link</td><td>Used for GLMM with log link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">glmmGeneralizedLogit<a name=\"statistic-model-code-glmmGeneralizedLogit\"> </a></td><td>GLMM with generalized logit link</td><td>Used for GLMM with generalized logit link, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">linearRegression<a name=\"statistic-model-code-linearRegression\"> </a></td><td>Linear Regression</td><td>Used for linear regression method of analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">logisticRegression<a name=\"statistic-model-code-logisticRegression\"> </a></td><td>Logistic Regression</td><td>Used for logistic regression method of analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">polynomialRegression<a name=\"statistic-model-code-polynomialRegression\"> </a></td><td>Polynomial Regression</td><td>Used for Polynomial regression method of analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">coxProportionalHazards<a name=\"statistic-model-code-coxProportionalHazards\"> </a></td><td>Cox Proportional Hazards</td><td>Used for Cox proportional hazards method of analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">binomialDistributionRegression<a name=\"statistic-model-code-binomialDistributionRegression\"> </a></td><td>Binomial Distribution for Regression</td><td>Used for Binomial Distribution for Regression, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">multinomialDistributionRegression<a name=\"statistic-model-code-multinomialDistributionRegression\"> </a></td><td>Multinomial Distribution for Regression</td><td>Used for Multinomial Distribution for Regression, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">poissonRegression<a name=\"statistic-model-code-poissonRegression\"> </a></td><td>Poisson Regression</td><td>Used for Poisson Regression, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">negativeBinomialRegression<a name=\"statistic-model-code-negativeBinomialRegression\"> </a></td><td>Negative Binomial Regression</td><td>Used for Negative Binomial Regression, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">zeroCellConstant<a name=\"statistic-model-code-zeroCellConstant\"> </a></td><td>Zero-cell adjustment with constant</td><td>Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with &quot;value&quot; to define the constant</td></tr><tr><td style=\"white-space:nowrap\">zeroCellContinuityCorrection<a name=\"statistic-model-code-zeroCellContinuityCorrection\"> </a></td><td>Zero-cell adjustment with continuity correction</td><td>Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">adjusted<a name=\"statistic-model-code-adjusted\"> </a></td><td>Adjusted analysis</td><td>Used for adjusted analysis, paired with variable element(s)</td></tr><tr><td style=\"white-space:nowrap\">interactionTerm<a name=\"statistic-model-code-interactionTerm\"> </a></td><td>Interaction term</td><td>Used for interaction term, paired with &quot;value&quot; and two or more variable elements</td></tr><tr><td style=\"white-space:nowrap\">manteHaenszelMethod<a name=\"statistic-model-code-manteHaenszelMethod\"> </a></td><td>Mantel-Haenszel method</td><td>Used for Mantel-Haenszel method, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">metaAnalysis<a name=\"statistic-model-code-metaAnalysis\"> </a></td><td>Meta-analysis</td><td>Used for meta-analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">inverseVariance<a name=\"statistic-model-code-inverseVariance\"> </a></td><td>Inverse variance method</td><td>Used for inverse variance method of meta-analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">petoMethod<a name=\"statistic-model-code-petoMethod\"> </a></td><td>Peto method</td><td>Used for Peto method of meta-analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">hartungKnapp<a name=\"statistic-model-code-hartungKnapp\"> </a></td><td>Hartung-Knapp adjustment</td><td>Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">modifiedHartungKnapp<a name=\"statistic-model-code-modifiedHartungKnapp\"> </a></td><td>Modified Hartung-Knapp adjustment</td><td>Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">effectsFixed<a name=\"statistic-model-code-effectsFixed\"> </a></td><td>Fixed-effects</td><td>From a fixed-effects analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">effectsRandom<a name=\"statistic-model-code-effectsRandom\"> </a></td><td>Random-effects</td><td>From a random-effects analysis, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">chiSquareTestHomogeneity<a name=\"statistic-model-code-chiSquareTestHomogeneity\"> </a></td><td>Chi-square test for homogeneity</td><td>Used for Chi-square test for homogeneity, may be paired with &quot;value&quot; to express degrees of freedom</td></tr><tr><td style=\"white-space:nowrap\">dersimonianLairdMethod<a name=\"statistic-model-code-dersimonianLairdMethod\"> </a></td><td>Dersimonian-Laird method</td><td>Used for Dersimonian-Laird method of tau estimation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">pauleMandelMethod<a name=\"statistic-model-code-pauleMandelMethod\"> </a></td><td>Paule-Mandel method</td><td>Used for Paule-Mandel method of tau estimation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">restrictedLikelihood<a name=\"statistic-model-code-restrictedLikelihood\"> </a></td><td>Restricted Maximum Likelihood method</td><td>Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">maximumLikelihood<a name=\"statistic-model-code-maximumLikelihood\"> </a></td><td>Maximum Likelihood method</td><td>Used for Maximum Likelihood method of tau estimation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">empiricalBayes<a name=\"statistic-model-code-empiricalBayes\"> </a></td><td>Empirical Bayes method</td><td>Used for Empirical Bayes method of tau estimation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">hunterSchmidt<a name=\"statistic-model-code-hunterSchmidt\"> </a></td><td>Hunter-Schmidt method</td><td>Used for Hunter-Schmidt method of tau estimation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">sidikJonkman<a name=\"statistic-model-code-sidikJonkman\"> </a></td><td>Sidik-Jonkman method</td><td>Used for Sidik-Jonkman method of tau estimation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">hedgesMethod<a name=\"statistic-model-code-hedgesMethod\"> </a></td><td>Hedges method</td><td>Used for Hedges method of tau estimation, no additional elements needed</td></tr><tr><td style=\"white-space:nowrap\">tauDersimonianLaird<a name=\"statistic-model-code-tauDersimonianLaird\"> </a></td><td>Dersimonian-Laird method</td><td>Dersimonian-Laird method for tau squared</td></tr><tr><td style=\"white-space:nowrap\">tauPauleMandel<a name=\"statistic-model-code-tauPauleMandel\"> </a></td><td>Paule-Mandel method</td><td>Paule-Mandel method for tau squared</td></tr><tr><td style=\"white-space:nowrap\">tauRestrictedMaximumLikelihood<a name=\"statistic-model-code-tauRestrictedMaximumLikelihood\"> </a></td><td>Restricted Maximum Likelihood method</td><td>Restricted Maximum Likelihood method for tau squared</td></tr><tr><td style=\"white-space:nowrap\">tauMaximumLikelihood<a name=\"statistic-model-code-tauMaximumLikelihood\"> </a></td><td>Maximum Likelihood method</td><td>Maximum Likelihood method for tau squared</td></tr><tr><td style=\"white-space:nowrap\">tauEmpiricalBayes<a name=\"statistic-model-code-tauEmpiricalBayes\"> </a></td><td>Empirical Bayes method</td><td>Empirical Bayes method for tau squared</td></tr><tr><td style=\"white-space:nowrap\">tauHunterSchmidt<a name=\"statistic-model-code-tauHunterSchmidt\"> </a></td><td>Hunter-Schmidt method</td><td>Hunter-Schmidt method for tau squared</td></tr><tr><td style=\"white-space:nowrap\">tauSidikJonkman<a name=\"statistic-model-code-tauSidikJonkman\"> </a></td><td>Sidik-Jonkman method</td><td>Sidik-Jonkman method for tau squared</td></tr><tr><td style=\"white-space:nowrap\">tauHedges<a name=\"statistic-model-code-tauHedges\"> </a></td><td>Hedges method</td><td>Hedges method for tau squared</td></tr><tr><td style=\"white-space:nowrap\">poolMantelHaenzsel<a name=\"statistic-model-code-poolMantelHaenzsel\"> </a></td><td>Mantel-Haenszel method</td><td>Mantel-Haenszel method for pooling in meta-analysis</td></tr><tr><td style=\"white-space:nowrap\">poolInverseVariance<a name=\"statistic-model-code-poolInverseVariance\"> </a></td><td>Inverse variance method</td><td>Inverse variance method for pooling in meta-analysis</td></tr><tr><td style=\"white-space:nowrap\">poolPeto<a name=\"statistic-model-code-poolPeto\"> </a></td><td>Peto method</td><td>Peto method for pooling in meta-analysis</td></tr><tr><td style=\"white-space:nowrap\">poolGeneralizedLinearMixedModel<a name=\"statistic-model-code-poolGeneralizedLinearMixedModel\"> </a></td><td>Generalized linear mixed model (GLMM)</td><td>Generalized linear mixed model (GLMM) method for pooling in meta-analysis</td></tr></table></div>","status":"generated"},"title":"Statistic Model Code","url":"http://hl7.org/fhir/statistic-model-code","valueSet":"http://hl7.org/fhir/ValueSet/statistic-model-code","version":"5.0.0"}