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statistic-model-code	Statistic Model Code
statistic-model-code	Statistic Model Code

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{
  "resourceType" : "CodeSystem",
  "id" : "statistic-model-code",
  "meta" : {
    "profile" : [
      "http://hl7.org/fhir/StructureDefinition/shareablecodesystem"
    ]
  },
  "text" : {
    "status" : "generated",
    "div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p class=\"res-header-id\"><b>Generated Narrative: CodeSystem statistic-model-code</b></p><a name=\"statistic-model-code\"> </a><a name=\"hcstatistic-model-code\"> </a><a name=\"statistic-model-code-en-US\"> </a><div style=\"display: inline-block; background-color: #d9e0e7; padding: 6px; margin: 4px; border: 1px solid #8da1b4; border-radius: 5px; line-height: 60%\"><p style=\"margin-bottom: 0px\"/><p style=\"margin-bottom: 0px\">Profile: <a href=\"http://hl7.org/fhir/R5/shareablecodesystem.html\">Shareable CodeSystem</a></p></div><p>This case-sensitive 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>"
  },
  "extension" : [
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      "url" : "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg",
      "valueCode" : "cds"
    },
    {
      "url" : "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status",
      "valueCode" : "trial-use"
    },
    {
      "url" : "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm",
      "valueInteger" : 1
    }
  ],
  "url" : "http://terminology.hl7.org/CodeSystem/statistic-model-code",
  "version" : "1.0.0",
  "name" : "StatisticModelCode",
  "title" : "Statistic Model Code",
  "status" : "active",
  "experimental" : false,
  "date" : "2025-01-20T12:00:00+11:00",
  "publisher" : "HL7 (FHIR Project)",
  "contact" : [
    {
      "telecom" : [
        {
          "system" : "url",
          "value" : "http://hl7.org/fhir"
        },
        {
          "system" : "email",
          "value" : "fhir@lists.hl7.org"
        }
      ]
    }
  ],
  "description" : "The role that the assertion variable plays.",
  "caseSensitive" : true,
  "valueSet" : "http://terminology.hl7.org/ValueSet/statistic-model-code",
  "content" : "complete",
  "concept" : [
    {
      "code" : "oneTailedTest",
      "display" : "one-tailed test (1 threshold)",
      "definition" : "Used for one-tailed test (1 threshold), no additional elements needed"
    },
    {
      "code" : "twoTailedTest",
      "display" : "two-tailed test (2 thresholds)",
      "definition" : "Used for two-tailed test (2 threshold), no additional elements needed"
    },
    {
      "code" : "zTest",
      "display" : "z-test",
      "definition" : "Used for z-test, no additional elements needed"
    },
    {
      "code" : "oneSampleTTest",
      "display" : "1-sample t-test",
      "definition" : "Used for 1-sample t-test, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "twoSampleTTest",
      "display" : "2-sample t-test",
      "definition" : "Used for 2-sample t-test, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "pairedTTest",
      "display" : "paired t-test",
      "definition" : "Used for paired t-test, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "chiSquareTest",
      "display" : "Chi-square test",
      "definition" : "Used for Chi-square test, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "chiSquareTestTrend",
      "display" : "Chi-square test for trend",
      "definition" : "Used for Chi-square test for trend, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "pearsonCorrelation",
      "display" : "Pearson correlation",
      "definition" : "Used for Pearson correlation, no additional elements needed"
    },
    {
      "code" : "anova",
      "display" : "ANOVA (ANalysis Of VAriance)",
      "definition" : "Used for ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "anovaOneWay",
      "display" : "one-way ANOVA",
      "definition" : "Used for one-way ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "anovaTwoWay",
      "display" : "2-way ANOVA without replication",
      "definition" : "Used for 2-way ANOVA without replication method of analysis, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "anovaTwoWayReplication",
      "display" : "2-way ANOVA with replication",
      "definition" : "Used for 2-way ANOVA with replication method of analysis, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "manova",
      "display" : "multivariate ANOVA (MANOVA)",
      "definition" : "Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "anovaThreeWay",
      "display" : "3-way ANOVA",
      "definition" : "Used for 3-way ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "signTest",
      "display" : "sign test",
      "definition" : "Used for sign test, no additional elements needed"
    },
    {
      "code" : "wilcoxonSignedRankTest",
      "display" : "Wilcoxon signed-rank test",
      "definition" : "Used for Wilcoxon signed-rank test, no additional elements needed"
    },
    {
      "code" : "wilcoxonRankSumTest",
      "display" : "Wilcoxon rank-sum test",
      "definition" : "Used for Wilcoxon rank-sum test, no additional elements needed"
    },
    {
      "code" : "mannWhitneyUTest",
      "display" : "Mann-Whitney U test",
      "definition" : "Used for Mann-Whitney U test, no additional elements needed"
    },
    {
      "code" : "fishersExactTest",
      "display" : "Fisher’s exact test",
      "definition" : "Used for Fisher's exact test, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "mcnemarsTest",
      "display" : "McNemar’s test",
      "definition" : "Used for McNemar's test, no additional elements needed"
    },
    {
      "code" : "kruskalWallisTest",
      "display" : "Kruskal Wallis test",
      "definition" : "Used for Kruskal Wallis test, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "spearmanCorrelation",
      "display" : "Spearman correlation",
      "definition" : "Used for Spearman correlation, no additional elements needed"
    },
    {
      "code" : "kendallCorrelation",
      "display" : "Kendall correlation",
      "definition" : "Used for Kendall correlation, no additional elements needed"
    },
    {
      "code" : "friedmanTest",
      "display" : "Friedman test",
      "definition" : "Used for Friedman test, no additional elements needed"
    },
    {
      "code" : "goodmanKruskasGamma",
      "display" : "Goodman Kruska’s Gamma",
      "definition" : "Used for Goodman Kruska’s Gamma, no additional elements needed"
    },
    {
      "code" : "glm",
      "display" : "GLM (Generalized Linear Model)",
      "definition" : "Used for GLM (Generalized Linear Model), no additional elements needed"
    },
    {
      "code" : "glmProbit",
      "display" : "GLM with probit link",
      "definition" : "Used for GLM with probit link, no additional elements needed"
    },
    {
      "code" : "glmLogit",
      "display" : "GLM with logit link",
      "definition" : "Used for GLM with logit link, no additional elements needed"
    },
    {
      "code" : "glmIdentity",
      "display" : "GLM with identity link",
      "definition" : "Used for GLM with identity link, no additional elements needed"
    },
    {
      "code" : "glmLog",
      "display" : "GLM with log link",
      "definition" : "Used for GLM with log link, no additional elements needed"
    },
    {
      "code" : "glmGeneralizedLogit",
      "display" : "GLM with generalized logit link",
      "definition" : "Used for GLM with generalized logit link, no additional elements needed"
    },
    {
      "code" : "glmm",
      "display" : "Generalized linear mixed model (GLMM)",
      "definition" : "Used for Generalized linear mixed model (GLMM), no additional elements needed"
    },
    {
      "code" : "glmmProbit",
      "display" : "GLMM with probit link",
      "definition" : "Used for GLMM with probit link, no additional elements needed"
    },
    {
      "code" : "glmmLogit",
      "display" : "GLMM with logit link",
      "definition" : "Used for GLMM with logit link, no additional elements needed"
    },
    {
      "code" : "glmmIdentity",
      "display" : "GLMM with identity link",
      "definition" : "Used for GLMM with identity link, no additional elements needed"
    },
    {
      "code" : "glmmLog",
      "display" : "GLMM with log link",
      "definition" : "Used for GLMM with log link, no additional elements needed"
    },
    {
      "code" : "glmmGeneralizedLogit",
      "display" : "GLMM with generalized logit link",
      "definition" : "Used for GLMM with generalized logit link, no additional elements needed"
    },
    {
      "code" : "linearRegression",
      "display" : "Linear Regression",
      "definition" : "Used for linear regression method of analysis, no additional elements needed"
    },
    {
      "code" : "logisticRegression",
      "display" : "Logistic Regression",
      "definition" : "Used for logistic regression method of analysis, no additional elements needed"
    },
    {
      "code" : "polynomialRegression",
      "display" : "Polynomial Regression",
      "definition" : "Used for Polynomial regression method of analysis, no additional elements needed"
    },
    {
      "code" : "coxProportionalHazards",
      "display" : "Cox Proportional Hazards",
      "definition" : "Used for Cox proportional hazards method of analysis, no additional elements needed"
    },
    {
      "code" : "binomialDistributionRegression",
      "display" : "Binomial Distribution for Regression",
      "definition" : "Used for Binomial Distribution for Regression, no additional elements needed"
    },
    {
      "code" : "multinomialDistributionRegression",
      "display" : "Multinomial Distribution for Regression",
      "definition" : "Used for Multinomial Distribution for Regression, no additional elements needed"
    },
    {
      "code" : "poissonRegression",
      "display" : "Poisson Regression",
      "definition" : "Used for Poisson Regression, no additional elements needed"
    },
    {
      "code" : "negativeBinomialRegression",
      "display" : "Negative Binomial Regression",
      "definition" : "Used for Negative Binomial Regression, no additional elements needed"
    },
    {
      "code" : "zeroCellConstant",
      "display" : "Zero-cell adjustment with constant",
      "definition" : "Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with \"value\" to define the constant"
    },
    {
      "code" : "zeroCellContinuityCorrection",
      "display" : "Zero-cell adjustment with continuity correction",
      "definition" : "Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed"
    },
    {
      "code" : "adjusted",
      "display" : "Adjusted analysis",
      "definition" : "Used for adjusted analysis, paired with variable element(s)"
    },
    {
      "code" : "interactionTerm",
      "display" : "Interaction term",
      "definition" : "Used for interaction term, paired with \"value\" and two or more variable elements"
    },
    {
      "code" : "manteHaenszelMethod",
      "display" : "Mantel-Haenszel method",
      "definition" : "Used for Mantel-Haenszel method, no additional elements needed"
    },
    {
      "code" : "metaAnalysis",
      "display" : "Meta-analysis",
      "definition" : "Used for meta-analysis, no additional elements needed"
    },
    {
      "code" : "inverseVariance",
      "display" : "Inverse variance method",
      "definition" : "Used for inverse variance method of meta-analysis, no additional elements needed"
    },
    {
      "code" : "petoMethod",
      "display" : "Peto method",
      "definition" : "Used for Peto method of meta-analysis, no additional elements needed"
    },
    {
      "code" : "hartungKnapp",
      "display" : "Hartung-Knapp adjustment",
      "definition" : "Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed"
    },
    {
      "code" : "modifiedHartungKnapp",
      "display" : "Modified Hartung-Knapp adjustment",
      "definition" : "Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed"
    },
    {
      "code" : "effectsFixed",
      "display" : "Fixed-effects",
      "definition" : "From a fixed-effects analysis, no additional elements needed"
    },
    {
      "code" : "effectsRandom",
      "display" : "Random-effects",
      "definition" : "From a random-effects analysis, no additional elements needed"
    },
    {
      "code" : "chiSquareTestHomogeneity",
      "display" : "Chi-square test for homogeneity",
      "definition" : "Used for Chi-square test for homogeneity, may be paired with \"value\" to express degrees of freedom"
    },
    {
      "code" : "dersimonianLairdMethod",
      "display" : "Dersimonian-Laird method",
      "definition" : "Used for Dersimonian-Laird method of tau estimation, no additional elements needed"
    },
    {
      "code" : "pauleMandelMethod",
      "display" : "Paule-Mandel method",
      "definition" : "Used for Paule-Mandel method of tau estimation, no additional elements needed"
    },
    {
      "code" : "restrictedLikelihood",
      "display" : "Restricted Maximum Likelihood method",
      "definition" : "Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed"
    },
    {
      "code" : "maximumLikelihood",
      "display" : "Maximum Likelihood method",
      "definition" : "Used for Maximum Likelihood method of tau estimation, no additional elements needed"
    },
    {
      "code" : "empiricalBayes",
      "display" : "Empirical Bayes method",
      "definition" : "Used for Empirical Bayes method of tau estimation, no additional elements needed"
    },
    {
      "code" : "hunterSchmidt",
      "display" : "Hunter-Schmidt method",
      "definition" : "Used for Hunter-Schmidt method of tau estimation, no additional elements needed"
    },
    {
      "code" : "sidikJonkman",
      "display" : "Sidik-Jonkman method",
      "definition" : "Used for Sidik-Jonkman method of tau estimation, no additional elements needed"
    },
    {
      "code" : "hedgesMethod",
      "display" : "Hedges method",
      "definition" : "Used for Hedges method of tau estimation, no additional elements needed"
    },
    {
      "code" : "tauDersimonianLaird",
      "display" : "Dersimonian-Laird method",
      "definition" : "Dersimonian-Laird method for tau squared"
    },
    {
      "code" : "tauPauleMandel",
      "display" : "Paule-Mandel method",
      "definition" : "Paule-Mandel method for tau squared"
    },
    {
      "code" : "tauRestrictedMaximumLikelihood",
      "display" : "Restricted Maximum Likelihood method",
      "definition" : "Restricted Maximum Likelihood method for tau squared"
    },
    {
      "code" : "tauMaximumLikelihood",
      "display" : "Maximum Likelihood method",
      "definition" : "Maximum Likelihood method for tau squared"
    },
    {
      "code" : "tauEmpiricalBayes",
      "display" : "Empirical Bayes method",
      "definition" : "Empirical Bayes method for tau squared"
    },
    {
      "code" : "tauHunterSchmidt",
      "display" : "Hunter-Schmidt method",
      "definition" : "Hunter-Schmidt method for tau squared"
    },
    {
      "code" : "tauSidikJonkman",
      "display" : "Sidik-Jonkman method",
      "definition" : "Sidik-Jonkman method for tau squared"
    },
    {
      "code" : "tauHedges",
      "display" : "Hedges method",
      "definition" : "Hedges method for tau squared"
    },
    {
      "code" : "poolMantelHaenzsel",
      "display" : "Mantel-Haenszel method",
      "definition" : "Mantel-Haenszel method for pooling in meta-analysis"
    },
    {
      "code" : "poolInverseVariance",
      "display" : "Inverse variance method",
      "definition" : "Inverse variance method for pooling in meta-analysis"
    },
    {
      "code" : "poolPeto",
      "display" : "Peto method",
      "definition" : "Peto method for pooling in meta-analysis"
    },
    {
      "code" : "poolGeneralizedLinearMixedModel",
      "display" : "Generalized linear mixed model (GLMM)",
      "definition" : "Generalized linear mixed model (GLMM) method for pooling in meta-analysis"
    }
  ]
}

XIG built as of ??metadata-date??. Found ??metadata-resources?? resources in ??metadata-packages?? packages.