Definition for Code SystemStatisticModelCode

<?xml version="1.0" encoding="UTF-8"?>

<CodeSystem xmlns="http://hl7.org/fhir">
  <id value="statistic-model-code"/> 
  <meta> 
    <lastUpdated value="2022-09-10T04:52:37.223+10:00"/> 
    <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://terminology.hl7.org/CodeSystem/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> 
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    <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:2.16.840.1.113883.4.642.4.1938"/> 
  </identifier> 
  <version value="5.0.0-ballot"/> 
  <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>