Statistic Model Code

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  "title" : "Statistic Model Code",
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    "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>",
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