<?xml version="1.0" encoding="UTF-8"?><CodeSystem xmlns="http://hl7.org/fhir"><id value="statistic-model-code"/><meta><lastUpdated value="2022-05-28T13:47:40+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 &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://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"/><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 &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>