<?xml version="1.0" encoding="UTF-8"?><CodeSystem xmlns="http://hl7.org/fhir"><id value="statistic-model-code"/><meta><lastUpdated value="2023-03-26T15:21:02.749+11:00"/><profile value="http://hl7.org/fhir/StructureDefinition/shareablecodesystem"/></meta><text><status value="generated"/><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></text><extension url="http://hl7.org/fhir/StructureDefinition/structuredefinition-wg"><valueCode value="cds"/></extension><extension url="http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status"><valueCode value="trial-use"/></extension><extension url="http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm"><valueInteger value="1"/></extension><url value="http://hl7.org/fhir/statistic-model-code"/><identifier><system value="urn:ietf:rfc:3986"/><value value="urn:oid:2.16.840.1.113883.4.642.4.1938"/></identifier><version value="5.0.0"/><name value="StatisticModelCode"/><title value="Statistic Model Code"/><status value="active"/><experimental value="false"/><date value="2021-08-05T12:00:00+11:00"/><publisher value="HL7 (FHIR Project)"/><contact><telecom><system value="url"/><value value="http://hl7.org/fhir"/></telecom><telecom><system value="email"/><value value="fhir@lists.hl7.org"/></telecom></contact><description value="The role that the assertion variable plays."/><jurisdiction><coding><system value="http://unstats.un.org/unsd/methods/m49/m49.htm"/><code value="001"/><display value="World"/></coding></jurisdiction><caseSensitive value="true"/><valueSet value="http://hl7.org/fhir/ValueSet/statistic-model-code"/><content value="complete"/><concept><code value="oneTailedTest"/><display value="one-tailed test (1 threshold)"/><definition value="Used for one-tailed test (1 threshold), no additional elements needed"/></concept><concept><code value="twoTailedTest"/><display value="two-tailed test (2 thresholds)"/><definition value="Used for two-tailed test (2 threshold), no additional elements needed"/></concept><concept><code value="zTest"/><display value="z-test"/><definition value="Used for z-test, no additional elements needed"/></concept><concept><code value="oneSampleTTest"/><display value="1-sample t-test"/><definition value="Used for 1-sample t-test, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="twoSampleTTest"/><display value="2-sample t-test"/><definition value="Used for 2-sample t-test, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="pairedTTest"/><display value="paired t-test"/><definition value="Used for paired t-test, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="chiSquareTest"/><display value="Chi-square test"/><definition value="Used for Chi-square test, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="chiSquareTestTrend"/><display value="Chi-square test for trend"/><definition value="Used for Chi-square test for trend, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="pearsonCorrelation"/><display value="Pearson correlation"/><definition value="Used for Pearson correlation, no additional elements needed"/></concept><concept><code value="anova"/><display value="ANOVA (ANalysis Of VAriance)"/><definition value="Used for ANOVA method of analysis, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="anovaOneWay"/><display value="one-way ANOVA"/><definition value="Used for one-way ANOVA method of analysis, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="anovaTwoWay"/><display value="2-way ANOVA without replication"/><definition value="Used for 2-way ANOVA without replication method of analysis, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="anovaTwoWayReplication"/><display value="2-way ANOVA with replication"/><definition value="Used for 2-way ANOVA with replication method of analysis, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="manova"/><display value="multivariate ANOVA (MANOVA)"/><definition value="Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="anovaThreeWay"/><display value="3-way ANOVA"/><definition value="Used for 3-way ANOVA method of analysis, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="signTest"/><display value="sign test"/><definition value="Used for sign test, no additional elements needed"/></concept><concept><code value="wilcoxonSignedRankTest"/><display value="Wilcoxon signed-rank test"/><definition value="Used for Wilcoxon signed-rank test, no additional elements needed"/></concept><concept><code value="wilcoxonRankSumTest"/><display value="Wilcoxon rank-sum test"/><definition value="Used for Wilcoxon rank-sum test, no additional elements needed"/></concept><concept><code value="mannWhitneyUTest"/><display value="Mann-Whitney U test"/><definition value="Used for Mann-Whitney U test, no additional elements needed"/></concept><concept><code value="fishersExactTest"/><display value="Fisher’s exact test"/><definition value="Used for Fisher's exact test, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="mcnemarsTest"/><display value="McNemar’s test"/><definition value="Used for McNemar's test, no additional elements needed"/></concept><concept><code value="kruskalWallisTest"/><display value="Kruskal Wallis test"/><definition value="Used for Kruskal Wallis test, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="spearmanCorrelation"/><display value="Spearman correlation"/><definition value="Used for Spearman correlation, no additional elements needed"/></concept><concept><code value="kendallCorrelation"/><display value="Kendall correlation"/><definition value="Used for Kendall correlation, no additional elements needed"/></concept><concept><code value="friedmanTest"/><display value="Friedman test"/><definition value="Used for Friedman test, no additional elements needed"/></concept><concept><code value="goodmanKruskasGamma"/><display value="Goodman Kruska’s Gamma"/><definition value="Used for Goodman Kruska’s Gamma, no additional elements needed"/></concept><concept><code value="glm"/><display value="GLM (Generalized Linear Model)"/><definition value="Used for GLM (Generalized Linear Model), no additional elements needed"/></concept><concept><code value="glmProbit"/><display value="GLM with probit link"/><definition value="Used for GLM with probit link, no additional elements needed"/></concept><concept><code value="glmLogit"/><display value="GLM with logit link"/><definition value="Used for GLM with logit link, no additional elements needed"/></concept><concept><code value="glmIdentity"/><display value="GLM with identity link"/><definition value="Used for GLM with identity link, no additional elements needed"/></concept><concept><code value="glmLog"/><display value="GLM with log link"/><definition value="Used for GLM with log link, no additional elements needed"/></concept><concept><code value="glmGeneralizedLogit"/><display value="GLM with generalized logit link"/><definition value="Used for GLM with generalized logit link, no additional elements needed"/></concept><concept><code value="glmm"/><display value="Generalized linear mixed model (GLMM)"/><definition value="Used for Generalized linear mixed model (GLMM), no additional elements needed"/></concept><concept><code value="glmmProbit"/><display value="GLMM with probit link"/><definition value="Used for GLMM with probit link, no additional elements needed"/></concept><concept><code value="glmmLogit"/><display value="GLMM with logit link"/><definition value="Used for GLMM with logit link, no additional elements needed"/></concept><concept><code value="glmmIdentity"/><display value="GLMM with identity link"/><definition value="Used for GLMM with identity link, no additional elements needed"/></concept><concept><code value="glmmLog"/><display value="GLMM with log link"/><definition value="Used for GLMM with log link, no additional elements needed"/></concept><concept><code value="glmmGeneralizedLogit"/><display value="GLMM with generalized logit link"/><definition value="Used for GLMM with generalized logit link, no additional elements needed"/></concept><concept><code value="linearRegression"/><display value="Linear Regression"/><definition value="Used for linear regression method of analysis, no additional elements needed"/></concept><concept><code value="logisticRegression"/><display value="Logistic Regression"/><definition value="Used for logistic regression method of analysis, no additional elements needed"/></concept><concept><code value="polynomialRegression"/><display value="Polynomial Regression"/><definition value="Used for Polynomial regression method of analysis, no additional elements needed"/></concept><concept><code value="coxProportionalHazards"/><display value="Cox Proportional Hazards"/><definition value="Used for Cox proportional hazards method of analysis, no additional elements needed"/></concept><concept><code value="binomialDistributionRegression"/><display value="Binomial Distribution for Regression"/><definition value="Used for Binomial Distribution for Regression, no additional elements needed"/></concept><concept><code value="multinomialDistributionRegression"/><display value="Multinomial Distribution for Regression"/><definition value="Used for Multinomial Distribution for Regression, no additional elements needed"/></concept><concept><code value="poissonRegression"/><display value="Poisson Regression"/><definition value="Used for Poisson Regression, no additional elements needed"/></concept><concept><code value="negativeBinomialRegression"/><display value="Negative Binomial Regression"/><definition value="Used for Negative Binomial Regression, no additional elements needed"/></concept><concept><code value="zeroCellConstant"/><display value="Zero-cell adjustment with constant"/><definition value="Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with &quot;value&quot; to define the constant"/></concept><concept><code value="zeroCellContinuityCorrection"/><display value="Zero-cell adjustment with continuity correction"/><definition value="Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed"/></concept><concept><code value="adjusted"/><display value="Adjusted analysis"/><definition value="Used for adjusted analysis, paired with variable element(s)"/></concept><concept><code value="interactionTerm"/><display value="Interaction term"/><definition value="Used for interaction term, paired with &quot;value&quot; and two or more variable elements"/></concept><concept><code value="manteHaenszelMethod"/><display value="Mantel-Haenszel method"/><definition value="Used for Mantel-Haenszel method, no additional elements needed"/></concept><concept><code value="metaAnalysis"/><display value="Meta-analysis"/><definition value="Used for meta-analysis, no additional elements needed"/></concept><concept><code value="inverseVariance"/><display value="Inverse variance method"/><definition value="Used for inverse variance method of meta-analysis, no additional elements needed"/></concept><concept><code value="petoMethod"/><display value="Peto method"/><definition value="Used for Peto method of meta-analysis, no additional elements needed"/></concept><concept><code value="hartungKnapp"/><display value="Hartung-Knapp adjustment"/><definition value="Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed"/></concept><concept><code value="modifiedHartungKnapp"/><display value="Modified Hartung-Knapp adjustment"/><definition value="Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed"/></concept><concept><code value="effectsFixed"/><display value="Fixed-effects"/><definition value="From a fixed-effects analysis, no additional elements needed"/></concept><concept><code value="effectsRandom"/><display value="Random-effects"/><definition value="From a random-effects analysis, no additional elements needed"/></concept><concept><code value="chiSquareTestHomogeneity"/><display value="Chi-square test for homogeneity"/><definition value="Used for Chi-square test for homogeneity, may be paired with &quot;value&quot; to express degrees of freedom"/></concept><concept><code value="dersimonianLairdMethod"/><display value="Dersimonian-Laird method"/><definition value="Used for Dersimonian-Laird method of tau estimation, no additional elements needed"/></concept><concept><code value="pauleMandelMethod"/><display value="Paule-Mandel method"/><definition value="Used for Paule-Mandel method of tau estimation, no additional elements needed"/></concept><concept><code value="restrictedLikelihood"/><display value="Restricted Maximum Likelihood method"/><definition value="Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed"/></concept><concept><code value="maximumLikelihood"/><display value="Maximum Likelihood method"/><definition value="Used for Maximum Likelihood method of tau estimation, no additional elements needed"/></concept><concept><code value="empiricalBayes"/><display value="Empirical Bayes method"/><definition value="Used for Empirical Bayes method of tau estimation, no additional elements needed"/></concept><concept><code value="hunterSchmidt"/><display value="Hunter-Schmidt method"/><definition value="Used for Hunter-Schmidt method of tau estimation, no additional elements needed"/></concept><concept><code value="sidikJonkman"/><display value="Sidik-Jonkman method"/><definition value="Used for Sidik-Jonkman method of tau estimation, no additional elements needed"/></concept><concept><code value="hedgesMethod"/><display value="Hedges method"/><definition value="Used for Hedges method of tau estimation, no additional elements needed"/></concept><concept><code value="tauDersimonianLaird"/><display value="Dersimonian-Laird method"/><definition value="Dersimonian-Laird method for tau squared"/></concept><concept><code value="tauPauleMandel"/><display value="Paule-Mandel method"/><definition value="Paule-Mandel method for tau squared"/></concept><concept><code value="tauRestrictedMaximumLikelihood"/><display value="Restricted Maximum Likelihood method"/><definition value="Restricted Maximum Likelihood method for tau squared"/></concept><concept><code value="tauMaximumLikelihood"/><display value="Maximum Likelihood method"/><definition value="Maximum Likelihood method for tau squared"/></concept><concept><code value="tauEmpiricalBayes"/><display value="Empirical Bayes method"/><definition value="Empirical Bayes method for tau squared"/></concept><concept><code value="tauHunterSchmidt"/><display value="Hunter-Schmidt method"/><definition value="Hunter-Schmidt method for tau squared"/></concept><concept><code value="tauSidikJonkman"/><display value="Sidik-Jonkman method"/><definition value="Sidik-Jonkman method for tau squared"/></concept><concept><code value="tauHedges"/><display value="Hedges method"/><definition value="Hedges method for tau squared"/></concept><concept><code value="poolMantelHaenzsel"/><display value="Mantel-Haenszel method"/><definition value="Mantel-Haenszel method for pooling in meta-analysis"/></concept><concept><code value="poolInverseVariance"/><display value="Inverse variance method"/><definition value="Inverse variance method for pooling in meta-analysis"/></concept><concept><code value="poolPeto"/><display value="Peto method"/><definition value="Peto method for pooling in meta-analysis"/></concept><concept><code value="poolGeneralizedLinearMixedModel"/><display value="Generalized linear mixed model (GLMM)"/><definition value="Generalized linear mixed model (GLMM) method for pooling in meta-analysis"/></concept></CodeSystem>