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Definition for Code System StatisticModelCode
<?xml version="1.0" encoding="UTF-8"?> <CodeSystem xmlns="http://hl7.org/fhir"> <id value="statistic-model-code"/> <meta> <lastUpdated value="2021-12-20T14:08:35+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 http://terminology.hl7.org/CodeSystem/statistic-model-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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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://terminology.hl7.org/CodeSystem/statistic-model-code"/> <identifier> <system value="urn:ietf:rfc:3986"/> <value value="urn:oid:2.16.840.1.113883.4.642.3.1539"/> </identifier> <version value="4.3.0-snapshot1"/> <name value="StatisticModelCode"/> <title value="StatisticModelCode"/> <status value="draft"/> <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."/> <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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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>
Usage note: every effort has been made to ensure that the examples are correct and useful, but they are not a normative part of the specification.