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Packagehl7.fhir.uv.xver-r5.r4.r4
Resource TypeValueSet
IdValueSet-R5-statistic-model-code-for-R4.json
FHIR VersionR4
Sourcehttp://hl7.org/fhir/uv/xver-r5.r4/0.0.1-snapshot-2/ValueSet-R5-statistic-model-code-for-R4.html
URLhttp://hl7.org/fhir/5.0/ValueSet/R5-statistic-model-code-for-R4
Version0.0.1-snapshot-2
Statusactive
Date2025-09-01T22:37:03.430077+10:00
NameR5_statistic_model_code_for_R4
TitleCross-version VS for R5.StatisticModelCode for use in FHIR R4
Realmuv
Authorityhl7
DescriptionThis cross-version ValueSet represents concepts from http://hl7.org/fhir/ValueSet/statistic-model-code|5.0.0 for use in FHIR R4. Concepts not present here have direct `equivalent` mappings crossing all versions from R5 to R4.

Resources that use this resource

StructureDefinition
extension-Evidence.statisticCross-version Extension for R5.Evidence.statistic for use in FHIR R4

Resources that this resource uses

CodeSystem
statistic-model-codeStatistic Model Code

Narrative

Note: links and images are rebased to the (stated) source

Generated Narrative: ValueSet R5-statistic-model-code-for-R4

This value set expansion contains 79 concepts.

CodeSystemDisplayDefinition
  oneTailedTesthttp://hl7.org/fhir/statistic-model-codeone-tailed test (1 threshold)Used for one-tailed test (1 threshold), no additional elements needed
  twoTailedTesthttp://hl7.org/fhir/statistic-model-codetwo-tailed test (2 thresholds)Used for two-tailed test (2 threshold), no additional elements needed
  zTesthttp://hl7.org/fhir/statistic-model-codez-testUsed for z-test, no additional elements needed
  oneSampleTTesthttp://hl7.org/fhir/statistic-model-code1-sample t-testUsed for 1-sample t-test, may be paired with "value" to express degrees of freedom
  twoSampleTTesthttp://hl7.org/fhir/statistic-model-code2-sample t-testUsed for 2-sample t-test, may be paired with "value" to express degrees of freedom
  pairedTTesthttp://hl7.org/fhir/statistic-model-codepaired t-testUsed for paired t-test, may be paired with "value" to express degrees of freedom
  chiSquareTesthttp://hl7.org/fhir/statistic-model-codeChi-square testUsed for Chi-square test, may be paired with "value" to express degrees of freedom
  chiSquareTestTrendhttp://hl7.org/fhir/statistic-model-codeChi-square test for trendUsed for Chi-square test for trend, may be paired with "value" to express degrees of freedom
  pearsonCorrelationhttp://hl7.org/fhir/statistic-model-codePearson correlationUsed for Pearson correlation, no additional elements needed
  anovahttp://hl7.org/fhir/statistic-model-codeANOVA (ANalysis Of VAriance)Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom
  anovaOneWayhttp://hl7.org/fhir/statistic-model-codeone-way ANOVAUsed for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
  anovaTwoWayhttp://hl7.org/fhir/statistic-model-code2-way ANOVA without replicationUsed for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom
  anovaTwoWayReplicationhttp://hl7.org/fhir/statistic-model-code2-way ANOVA with replicationUsed for 2-way ANOVA with replication method of analysis, may be paired with "value" to express degrees of freedom
  manovahttp://hl7.org/fhir/statistic-model-codemultivariate ANOVA (MANOVA)Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom
  anovaThreeWayhttp://hl7.org/fhir/statistic-model-code3-way ANOVAUsed for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
  signTesthttp://hl7.org/fhir/statistic-model-codesign testUsed for sign test, no additional elements needed
  wilcoxonSignedRankTesthttp://hl7.org/fhir/statistic-model-codeWilcoxon signed-rank testUsed for Wilcoxon signed-rank test, no additional elements needed
  wilcoxonRankSumTesthttp://hl7.org/fhir/statistic-model-codeWilcoxon rank-sum testUsed for Wilcoxon rank-sum test, no additional elements needed
  mannWhitneyUTesthttp://hl7.org/fhir/statistic-model-codeMann-Whitney U testUsed for Mann-Whitney U test, no additional elements needed
  fishersExactTesthttp://hl7.org/fhir/statistic-model-codeFisher’s exact testUsed for Fisher's exact test, may be paired with "value" to express degrees of freedom
  mcnemarsTesthttp://hl7.org/fhir/statistic-model-codeMcNemar’s testUsed for McNemar's test, no additional elements needed
  kruskalWallisTesthttp://hl7.org/fhir/statistic-model-codeKruskal Wallis testUsed for Kruskal Wallis test, may be paired with "value" to express degrees of freedom
  spearmanCorrelationhttp://hl7.org/fhir/statistic-model-codeSpearman correlationUsed for Spearman correlation, no additional elements needed
  kendallCorrelationhttp://hl7.org/fhir/statistic-model-codeKendall correlationUsed for Kendall correlation, no additional elements needed
  friedmanTesthttp://hl7.org/fhir/statistic-model-codeFriedman testUsed for Friedman test, no additional elements needed
  goodmanKruskasGammahttp://hl7.org/fhir/statistic-model-codeGoodman Kruska’s GammaUsed for Goodman Kruska’s Gamma, no additional elements needed
  glmhttp://hl7.org/fhir/statistic-model-codeGLM (Generalized Linear Model)Used for GLM (Generalized Linear Model), no additional elements needed
  glmProbithttp://hl7.org/fhir/statistic-model-codeGLM with probit linkUsed for GLM with probit link, no additional elements needed
  glmLogithttp://hl7.org/fhir/statistic-model-codeGLM with logit linkUsed for GLM with logit link, no additional elements needed
  glmIdentityhttp://hl7.org/fhir/statistic-model-codeGLM with identity linkUsed for GLM with identity link, no additional elements needed
  glmLoghttp://hl7.org/fhir/statistic-model-codeGLM with log linkUsed for GLM with log link, no additional elements needed
  glmGeneralizedLogithttp://hl7.org/fhir/statistic-model-codeGLM with generalized logit linkUsed for GLM with generalized logit link, no additional elements needed
  glmmhttp://hl7.org/fhir/statistic-model-codeGeneralized linear mixed model (GLMM)Used for Generalized linear mixed model (GLMM), no additional elements needed
  glmmProbithttp://hl7.org/fhir/statistic-model-codeGLMM with probit linkUsed for GLMM with probit link, no additional elements needed
  glmmLogithttp://hl7.org/fhir/statistic-model-codeGLMM with logit linkUsed for GLMM with logit link, no additional elements needed
  glmmIdentityhttp://hl7.org/fhir/statistic-model-codeGLMM with identity linkUsed for GLMM with identity link, no additional elements needed
  glmmLoghttp://hl7.org/fhir/statistic-model-codeGLMM with log linkUsed for GLMM with log link, no additional elements needed
  glmmGeneralizedLogithttp://hl7.org/fhir/statistic-model-codeGLMM with generalized logit linkUsed for GLMM with generalized logit link, no additional elements needed
  linearRegressionhttp://hl7.org/fhir/statistic-model-codeLinear RegressionUsed for linear regression method of analysis, no additional elements needed
  logisticRegressionhttp://hl7.org/fhir/statistic-model-codeLogistic RegressionUsed for logistic regression method of analysis, no additional elements needed
  polynomialRegressionhttp://hl7.org/fhir/statistic-model-codePolynomial RegressionUsed for Polynomial regression method of analysis, no additional elements needed
  coxProportionalHazardshttp://hl7.org/fhir/statistic-model-codeCox Proportional HazardsUsed for Cox proportional hazards method of analysis, no additional elements needed
  binomialDistributionRegressionhttp://hl7.org/fhir/statistic-model-codeBinomial Distribution for RegressionUsed for Binomial Distribution for Regression, no additional elements needed
  multinomialDistributionRegressionhttp://hl7.org/fhir/statistic-model-codeMultinomial Distribution for RegressionUsed for Multinomial Distribution for Regression, no additional elements needed
  poissonRegressionhttp://hl7.org/fhir/statistic-model-codePoisson RegressionUsed for Poisson Regression, no additional elements needed
  negativeBinomialRegressionhttp://hl7.org/fhir/statistic-model-codeNegative Binomial RegressionUsed for Negative Binomial Regression, no additional elements needed
  zeroCellConstanthttp://hl7.org/fhir/statistic-model-codeZero-cell adjustment with constantZero-cell adjustment done by adding a constant to all cells of affected studies, paired with "value" to define the constant
  zeroCellContinuityCorrectionhttp://hl7.org/fhir/statistic-model-codeZero-cell adjustment with continuity correctionZero-cell adjustment done by treatment arm continuity correction, no additional elements needed
  adjustedhttp://hl7.org/fhir/statistic-model-codeAdjusted analysisUsed for adjusted analysis, paired with variable element(s)
  interactionTermhttp://hl7.org/fhir/statistic-model-codeInteraction termUsed for interaction term, paired with "value" and two or more variable elements
  manteHaenszelMethodhttp://hl7.org/fhir/statistic-model-codeMantel-Haenszel methodUsed for Mantel-Haenszel method, no additional elements needed
  metaAnalysishttp://hl7.org/fhir/statistic-model-codeMeta-analysisUsed for meta-analysis, no additional elements needed
  inverseVariancehttp://hl7.org/fhir/statistic-model-codeInverse variance methodUsed for inverse variance method of meta-analysis, no additional elements needed
  petoMethodhttp://hl7.org/fhir/statistic-model-codePeto methodUsed for Peto method of meta-analysis, no additional elements needed
  hartungKnapphttp://hl7.org/fhir/statistic-model-codeHartung-Knapp adjustmentHartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
  modifiedHartungKnapphttp://hl7.org/fhir/statistic-model-codeModified Hartung-Knapp adjustmentModified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
  effectsFixedhttp://hl7.org/fhir/statistic-model-codeFixed-effectsFrom a fixed-effects analysis, no additional elements needed
  effectsRandomhttp://hl7.org/fhir/statistic-model-codeRandom-effectsFrom a random-effects analysis, no additional elements needed
  chiSquareTestHomogeneityhttp://hl7.org/fhir/statistic-model-codeChi-square test for homogeneityUsed for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom
  dersimonianLairdMethodhttp://hl7.org/fhir/statistic-model-codeDersimonian-Laird methodUsed for Dersimonian-Laird method of tau estimation, no additional elements needed
  pauleMandelMethodhttp://hl7.org/fhir/statistic-model-codePaule-Mandel methodUsed for Paule-Mandel method of tau estimation, no additional elements needed
  restrictedLikelihoodhttp://hl7.org/fhir/statistic-model-codeRestricted Maximum Likelihood methodUsed for Restricted Maximum Likelihood method of tau estimation, no additional elements needed
  maximumLikelihoodhttp://hl7.org/fhir/statistic-model-codeMaximum Likelihood methodUsed for Maximum Likelihood method of tau estimation, no additional elements needed
  empiricalBayeshttp://hl7.org/fhir/statistic-model-codeEmpirical Bayes methodUsed for Empirical Bayes method of tau estimation, no additional elements needed
  hunterSchmidthttp://hl7.org/fhir/statistic-model-codeHunter-Schmidt methodUsed for Hunter-Schmidt method of tau estimation, no additional elements needed
  sidikJonkmanhttp://hl7.org/fhir/statistic-model-codeSidik-Jonkman methodUsed for Sidik-Jonkman method of tau estimation, no additional elements needed
  hedgesMethodhttp://hl7.org/fhir/statistic-model-codeHedges methodUsed for Hedges method of tau estimation, no additional elements needed
  tauDersimonianLairdhttp://hl7.org/fhir/statistic-model-codeDersimonian-Laird methodDersimonian-Laird method for tau squared
  tauPauleMandelhttp://hl7.org/fhir/statistic-model-codePaule-Mandel methodPaule-Mandel method for tau squared
  tauRestrictedMaximumLikelihoodhttp://hl7.org/fhir/statistic-model-codeRestricted Maximum Likelihood methodRestricted Maximum Likelihood method for tau squared
  tauMaximumLikelihoodhttp://hl7.org/fhir/statistic-model-codeMaximum Likelihood methodMaximum Likelihood method for tau squared
  tauEmpiricalBayeshttp://hl7.org/fhir/statistic-model-codeEmpirical Bayes methodEmpirical Bayes method for tau squared
  tauHunterSchmidthttp://hl7.org/fhir/statistic-model-codeHunter-Schmidt methodHunter-Schmidt method for tau squared
  tauSidikJonkmanhttp://hl7.org/fhir/statistic-model-codeSidik-Jonkman methodSidik-Jonkman method for tau squared
  tauHedgeshttp://hl7.org/fhir/statistic-model-codeHedges methodHedges method for tau squared
  poolMantelHaenzselhttp://hl7.org/fhir/statistic-model-codeMantel-Haenszel methodMantel-Haenszel method for pooling in meta-analysis
  poolInverseVariancehttp://hl7.org/fhir/statistic-model-codeInverse variance methodInverse variance method for pooling in meta-analysis
  poolPetohttp://hl7.org/fhir/statistic-model-codePeto methodPeto method for pooling in meta-analysis
  poolGeneralizedLinearMixedModelhttp://hl7.org/fhir/statistic-model-codeGeneralized linear mixed model (GLMM)Generalized linear mixed model (GLMM) method for pooling in meta-analysis

Source1

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  "text": {
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  "jurisdiction": [
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  "compose": {
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        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "concept": [
          {
            "code": "oneTailedTest",
            "display": "one-tailed test (1 threshold)"
          },
          {
            "code": "twoTailedTest",
            "display": "two-tailed test (2 thresholds)"
          },
          {
            "code": "zTest",
            "display": "z-test"
          },
          {
            "code": "oneSampleTTest",
            "display": "1-sample t-test"
          },
          {
            "code": "twoSampleTTest",
            "display": "2-sample t-test"
          },
          {
            "code": "pairedTTest",
            "display": "paired t-test"
          },
          {
            "code": "chiSquareTest",
            "display": "Chi-square test"
          },
          {
            "code": "chiSquareTestTrend",
            "display": "Chi-square test for trend"
          },
          {
            "code": "pearsonCorrelation",
            "display": "Pearson correlation"
          },
          {
            "code": "anova",
            "display": "ANOVA (ANalysis Of VAriance)"
          },
          {
            "code": "anovaOneWay",
            "display": "one-way ANOVA"
          },
          {
            "code": "anovaTwoWay",
            "display": "2-way ANOVA without replication"
          },
          {
            "code": "anovaTwoWayReplication",
            "display": "2-way ANOVA with replication"
          },
          {
            "code": "manova",
            "display": "multivariate ANOVA (MANOVA)"
          },
          {
            "code": "anovaThreeWay",
            "display": "3-way ANOVA"
          },
          {
            "code": "signTest",
            "display": "sign test"
          },
          {
            "code": "wilcoxonSignedRankTest",
            "display": "Wilcoxon signed-rank test"
          },
          {
            "code": "wilcoxonRankSumTest",
            "display": "Wilcoxon rank-sum test"
          },
          {
            "code": "mannWhitneyUTest",
            "display": "Mann-Whitney U test"
          },
          {
            "code": "fishersExactTest",
            "display": "Fisher’s exact test"
          },
          {
            "code": "mcnemarsTest",
            "display": "McNemar’s test"
          },
          {
            "code": "kruskalWallisTest",
            "display": "Kruskal Wallis test"
          },
          {
            "code": "spearmanCorrelation",
            "display": "Spearman correlation"
          },
          {
            "code": "kendallCorrelation",
            "display": "Kendall correlation"
          },
          {
            "code": "friedmanTest",
            "display": "Friedman test"
          },
          {
            "code": "goodmanKruskasGamma",
            "display": "Goodman Kruska’s Gamma"
          },
          {
            "code": "glm",
            "display": "GLM (Generalized Linear Model)"
          },
          {
            "code": "glmProbit",
            "display": "GLM with probit link"
          },
          {
            "code": "glmLogit",
            "display": "GLM with logit link"
          },
          {
            "code": "glmIdentity",
            "display": "GLM with identity link"
          },
          {
            "code": "glmLog",
            "display": "GLM with log link"
          },
          {
            "code": "glmGeneralizedLogit",
            "display": "GLM with generalized logit link"
          },
          {
            "code": "glmm",
            "display": "Generalized linear mixed model (GLMM)"
          },
          {
            "code": "glmmProbit",
            "display": "GLMM with probit link"
          },
          {
            "code": "glmmLogit",
            "display": "GLMM with logit link"
          },
          {
            "code": "glmmIdentity",
            "display": "GLMM with identity link"
          },
          {
            "code": "glmmLog",
            "display": "GLMM with log link"
          },
          {
            "code": "glmmGeneralizedLogit",
            "display": "GLMM with generalized logit link"
          },
          {
            "code": "linearRegression",
            "display": "Linear Regression"
          },
          {
            "code": "logisticRegression",
            "display": "Logistic Regression"
          },
          {
            "code": "polynomialRegression",
            "display": "Polynomial Regression"
          },
          {
            "code": "coxProportionalHazards",
            "display": "Cox Proportional Hazards"
          },
          {
            "code": "binomialDistributionRegression",
            "display": "Binomial Distribution for Regression"
          },
          {
            "code": "multinomialDistributionRegression",
            "display": "Multinomial Distribution for Regression"
          },
          {
            "code": "poissonRegression",
            "display": "Poisson Regression"
          },
          {
            "code": "negativeBinomialRegression",
            "display": "Negative Binomial Regression"
          },
          {
            "code": "zeroCellConstant",
            "display": "Zero-cell adjustment with constant"
          },
          {
            "code": "zeroCellContinuityCorrection",
            "display": "Zero-cell adjustment with continuity correction"
          },
          {
            "code": "adjusted",
            "display": "Adjusted analysis"
          },
          {
            "code": "interactionTerm",
            "display": "Interaction term"
          },
          {
            "code": "manteHaenszelMethod",
            "display": "Mantel-Haenszel method"
          },
          {
            "code": "metaAnalysis",
            "display": "Meta-analysis"
          },
          {
            "code": "inverseVariance",
            "display": "Inverse variance method"
          },
          {
            "code": "petoMethod",
            "display": "Peto method"
          },
          {
            "code": "hartungKnapp",
            "display": "Hartung-Knapp adjustment"
          },
          {
            "code": "modifiedHartungKnapp",
            "display": "Modified Hartung-Knapp adjustment"
          },
          {
            "code": "effectsFixed",
            "display": "Fixed-effects"
          },
          {
            "code": "effectsRandom",
            "display": "Random-effects"
          },
          {
            "code": "chiSquareTestHomogeneity",
            "display": "Chi-square test for homogeneity"
          },
          {
            "code": "dersimonianLairdMethod",
            "display": "Dersimonian-Laird method"
          },
          {
            "code": "pauleMandelMethod",
            "display": "Paule-Mandel method"
          },
          {
            "code": "restrictedLikelihood",
            "display": "Restricted Maximum Likelihood method"
          },
          {
            "code": "maximumLikelihood",
            "display": "Maximum Likelihood method"
          },
          {
            "code": "empiricalBayes",
            "display": "Empirical Bayes method"
          },
          {
            "code": "hunterSchmidt",
            "display": "Hunter-Schmidt method"
          },
          {
            "code": "sidikJonkman",
            "display": "Sidik-Jonkman method"
          },
          {
            "code": "hedgesMethod",
            "display": "Hedges method"
          },
          {
            "code": "tauDersimonianLaird",
            "display": "Dersimonian-Laird method"
          },
          {
            "code": "tauPauleMandel",
            "display": "Paule-Mandel method"
          },
          {
            "code": "tauRestrictedMaximumLikelihood",
            "display": "Restricted Maximum Likelihood method"
          },
          {
            "code": "tauMaximumLikelihood",
            "display": "Maximum Likelihood method"
          },
          {
            "code": "tauEmpiricalBayes",
            "display": "Empirical Bayes method"
          },
          {
            "code": "tauHunterSchmidt",
            "display": "Hunter-Schmidt method"
          },
          {
            "code": "tauSidikJonkman",
            "display": "Sidik-Jonkman method"
          },
          {
            "code": "tauHedges",
            "display": "Hedges method"
          },
          {
            "code": "poolMantelHaenzsel",
            "display": "Mantel-Haenszel method"
          },
          {
            "code": "poolInverseVariance",
            "display": "Inverse variance method"
          },
          {
            "code": "poolPeto",
            "display": "Peto method"
          },
          {
            "code": "poolGeneralizedLinearMixedModel",
            "display": "Generalized linear mixed model (GLMM)"
          }
        ]
      }
    ]
  },
  "expansion": {
    "timestamp": "2025-09-01T22:37:03.43007+10:00",
    "contains": [
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "oneTailedTest",
        "display": "one-tailed test (1 threshold)"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "twoTailedTest",
        "display": "two-tailed test (2 thresholds)"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "zTest",
        "display": "z-test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "oneSampleTTest",
        "display": "1-sample t-test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "twoSampleTTest",
        "display": "2-sample t-test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "pairedTTest",
        "display": "paired t-test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "chiSquareTest",
        "display": "Chi-square test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "chiSquareTestTrend",
        "display": "Chi-square test for trend"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "pearsonCorrelation",
        "display": "Pearson correlation"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "anova",
        "display": "ANOVA (ANalysis Of VAriance)"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "anovaOneWay",
        "display": "one-way ANOVA"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "anovaTwoWay",
        "display": "2-way ANOVA without replication"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "anovaTwoWayReplication",
        "display": "2-way ANOVA with replication"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "manova",
        "display": "multivariate ANOVA (MANOVA)"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "anovaThreeWay",
        "display": "3-way ANOVA"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "signTest",
        "display": "sign test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "wilcoxonSignedRankTest",
        "display": "Wilcoxon signed-rank test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "wilcoxonRankSumTest",
        "display": "Wilcoxon rank-sum test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "mannWhitneyUTest",
        "display": "Mann-Whitney U test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "fishersExactTest",
        "display": "Fisher’s exact test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "mcnemarsTest",
        "display": "McNemar’s test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "kruskalWallisTest",
        "display": "Kruskal Wallis test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "spearmanCorrelation",
        "display": "Spearman correlation"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "kendallCorrelation",
        "display": "Kendall correlation"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "friedmanTest",
        "display": "Friedman test"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "goodmanKruskasGamma",
        "display": "Goodman Kruska’s Gamma"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glm",
        "display": "GLM (Generalized Linear Model)"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmProbit",
        "display": "GLM with probit link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmLogit",
        "display": "GLM with logit link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmIdentity",
        "display": "GLM with identity link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmLog",
        "display": "GLM with log link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmGeneralizedLogit",
        "display": "GLM with generalized logit link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmm",
        "display": "Generalized linear mixed model (GLMM)"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmmProbit",
        "display": "GLMM with probit link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmmLogit",
        "display": "GLMM with logit link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmmIdentity",
        "display": "GLMM with identity link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmmLog",
        "display": "GLMM with log link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "glmmGeneralizedLogit",
        "display": "GLMM with generalized logit link"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "linearRegression",
        "display": "Linear Regression"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "logisticRegression",
        "display": "Logistic Regression"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "polynomialRegression",
        "display": "Polynomial Regression"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "coxProportionalHazards",
        "display": "Cox Proportional Hazards"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "binomialDistributionRegression",
        "display": "Binomial Distribution for Regression"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "multinomialDistributionRegression",
        "display": "Multinomial Distribution for Regression"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "poissonRegression",
        "display": "Poisson Regression"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "negativeBinomialRegression",
        "display": "Negative Binomial Regression"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "zeroCellConstant",
        "display": "Zero-cell adjustment with constant"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "zeroCellContinuityCorrection",
        "display": "Zero-cell adjustment with continuity correction"
      },
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        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "adjusted",
        "display": "Adjusted analysis"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "interactionTerm",
        "display": "Interaction term"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "manteHaenszelMethod",
        "display": "Mantel-Haenszel method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "metaAnalysis",
        "display": "Meta-analysis"
      },
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        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "inverseVariance",
        "display": "Inverse variance method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "petoMethod",
        "display": "Peto method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "hartungKnapp",
        "display": "Hartung-Knapp adjustment"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "modifiedHartungKnapp",
        "display": "Modified Hartung-Knapp adjustment"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "effectsFixed",
        "display": "Fixed-effects"
      },
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        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "effectsRandom",
        "display": "Random-effects"
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      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "chiSquareTestHomogeneity",
        "display": "Chi-square test for homogeneity"
      },
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        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "dersimonianLairdMethod",
        "display": "Dersimonian-Laird method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "pauleMandelMethod",
        "display": "Paule-Mandel method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "restrictedLikelihood",
        "display": "Restricted Maximum Likelihood method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "maximumLikelihood",
        "display": "Maximum Likelihood method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "empiricalBayes",
        "display": "Empirical Bayes method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "hunterSchmidt",
        "display": "Hunter-Schmidt method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "sidikJonkman",
        "display": "Sidik-Jonkman method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "hedgesMethod",
        "display": "Hedges method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "tauDersimonianLaird",
        "display": "Dersimonian-Laird method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "tauPauleMandel",
        "display": "Paule-Mandel method"
      },
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        "system": "http://hl7.org/fhir/statistic-model-code",
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        "code": "tauRestrictedMaximumLikelihood",
        "display": "Restricted Maximum Likelihood method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "tauMaximumLikelihood",
        "display": "Maximum Likelihood method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "tauEmpiricalBayes",
        "display": "Empirical Bayes method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "tauHunterSchmidt",
        "display": "Hunter-Schmidt method"
      },
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        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "tauSidikJonkman",
        "display": "Sidik-Jonkman method"
      },
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        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "tauHedges",
        "display": "Hedges method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "poolMantelHaenzsel",
        "display": "Mantel-Haenszel method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "poolInverseVariance",
        "display": "Inverse variance method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "poolPeto",
        "display": "Peto method"
      },
      {
        "system": "http://hl7.org/fhir/statistic-model-code",
        "version": "5.0.0",
        "code": "poolGeneralizedLinearMixedModel",
        "display": "Generalized linear mixed model (GLMM)"
      }
    ]
  }
}