FHIR Cross-Version Extensions package for FHIR R4 from FHIR R5 - Version 0.0.1-snapshot-2. See the Directory of published versions
| Page standards status: Informative | Maturity Level: 1 |
<CodeSystem xmlns="http://hl7.org/fhir">
<id value="statistic-model-code"/>
<text>
<status value="generated"/>
<div xmlns="http://www.w3.org/1999/xhtml">
<p>This code system
<code>http://hl7.org/fhir/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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" 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 "value" to express degrees of freedom</td>
</tr>
<tr>
<td style="white-space:nowrap">dersimonianLairdMethod
<a name="statistic-model-code-dersimonianLairdMethod"> </a>
</td>
<td>Dersimonian-Laird method</td>
<td>Used for Dersimonian-Laird method of tau estimation, no additional elements needed</td>
</tr>
<tr>
<td style="white-space:nowrap">pauleMandelMethod
<a name="statistic-model-code-pauleMandelMethod"> </a>
</td>
<td>Paule-Mandel method</td>
<td>Used for Paule-Mandel method of tau estimation, no additional elements needed</td>
</tr>
<tr>
<td style="white-space:nowrap">restrictedLikelihood
<a name="statistic-model-code-restrictedLikelihood"> </a>
</td>
<td>Restricted Maximum Likelihood method</td>
<td>Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed</td>
</tr>
<tr>
<td style="white-space:nowrap">maximumLikelihood
<a name="statistic-model-code-maximumLikelihood"> </a>
</td>
<td>Maximum Likelihood method</td>
<td>Used for Maximum Likelihood method of tau estimation, no additional elements needed</td>
</tr>
<tr>
<td style="white-space:nowrap">empiricalBayes
<a name="statistic-model-code-empiricalBayes"> </a>
</td>
<td>Empirical Bayes method</td>
<td>Used for Empirical Bayes method of tau estimation, no additional elements needed</td>
</tr>
<tr>
<td style="white-space:nowrap">hunterSchmidt
<a name="statistic-model-code-hunterSchmidt"> </a>
</td>
<td>Hunter-Schmidt method</td>
<td>Used for Hunter-Schmidt method of tau estimation, no additional elements needed</td>
</tr>
<tr>
<td style="white-space:nowrap">sidikJonkman
<a name="statistic-model-code-sidikJonkman"> </a>
</td>
<td>Sidik-Jonkman method</td>
<td>Used for Sidik-Jonkman method of tau estimation, no additional elements needed</td>
</tr>
<tr>
<td style="white-space:nowrap">hedgesMethod
<a name="statistic-model-code-hedgesMethod"> </a>
</td>
<td>Hedges method</td>
<td>Used for Hedges method of tau estimation, no additional elements needed</td>
</tr>
<tr>
<td style="white-space:nowrap">tauDersimonianLaird
<a name="statistic-model-code-tauDersimonianLaird"> </a>
</td>
<td>Dersimonian-Laird method</td>
<td>Dersimonian-Laird method for tau squared</td>
</tr>
<tr>
<td style="white-space:nowrap">tauPauleMandel
<a name="statistic-model-code-tauPauleMandel"> </a>
</td>
<td>Paule-Mandel method</td>
<td>Paule-Mandel method for tau squared</td>
</tr>
<tr>
<td style="white-space:nowrap">tauRestrictedMaximumLikelihood
<a name="statistic-model-code-tauRestrictedMaximumLikelihood"> </a>
</td>
<td>Restricted Maximum Likelihood method</td>
<td>Restricted Maximum Likelihood method for tau squared</td>
</tr>
<tr>
<td style="white-space:nowrap">tauMaximumLikelihood
<a name="statistic-model-code-tauMaximumLikelihood"> </a>
</td>
<td>Maximum Likelihood method</td>
<td>Maximum Likelihood method for tau squared</td>
</tr>
<tr>
<td style="white-space:nowrap">tauEmpiricalBayes
<a name="statistic-model-code-tauEmpiricalBayes"> </a>
</td>
<td>Empirical Bayes method</td>
<td>Empirical Bayes method for tau squared</td>
</tr>
<tr>
<td style="white-space:nowrap">tauHunterSchmidt
<a name="statistic-model-code-tauHunterSchmidt"> </a>
</td>
<td>Hunter-Schmidt method</td>
<td>Hunter-Schmidt method for tau squared</td>
</tr>
<tr>
<td style="white-space:nowrap">tauSidikJonkman
<a name="statistic-model-code-tauSidikJonkman"> </a>
</td>
<td>Sidik-Jonkman method</td>
<td>Sidik-Jonkman method for tau squared</td>
</tr>
<tr>
<td style="white-space:nowrap">tauHedges
<a name="statistic-model-code-tauHedges"> </a>
</td>
<td>Hedges method</td>
<td>Hedges method for tau squared</td>
</tr>
<tr>
<td style="white-space:nowrap">poolMantelHaenzsel
<a name="statistic-model-code-poolMantelHaenzsel"> </a>
</td>
<td>Mantel-Haenszel method</td>
<td>Mantel-Haenszel method for pooling in meta-analysis</td>
</tr>
<tr>
<td style="white-space:nowrap">poolInverseVariance
<a name="statistic-model-code-poolInverseVariance"> </a>
</td>
<td>Inverse variance method</td>
<td>Inverse variance method for pooling in meta-analysis</td>
</tr>
<tr>
<td style="white-space:nowrap">poolPeto
<a name="statistic-model-code-poolPeto"> </a>
</td>
<td>Peto method</td>
<td>Peto method for pooling in meta-analysis</td>
</tr>
<tr>
<td style="white-space:nowrap">poolGeneralizedLinearMixedModel
<a name="statistic-model-code-poolGeneralizedLinearMixedModel"> </a>
</td>
<td>Generalized linear mixed model (GLMM)</td>
<td>Generalized linear mixed model (GLMM) method for pooling in meta-analysis</td>
</tr>
</table>
</div>
</text>
<extension
url="http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status">
<valueCode value="informative"/>
</extension>
<extension
url="http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm">
<valueInteger value="1"/>
</extension>
<extension url="http://hl7.org/fhir/StructureDefinition/package-source">
<extension url="packageId">
<valueId value="hl7.fhir.uv.xver-r5.r4"/>
</extension>
<extension url="version">
<valueString value="0.0.1-snapshot-2"/>
</extension>
</extension>
<extension
url="http://hl7.org/fhir/StructureDefinition/structuredefinition-wg">
<valueCode value="cds"/>
</extension>
<url value="http://hl7.org/fhir/statistic-model-code"/>
<version value="5.0.0"/>
<name value="StatisticModelCode"/>
<title value="Statistic Model Code"/>
<status value="active"/>
<experimental value="false"/>
<date value="2021-08-05T11:00:00+10:00"/>
<publisher value="Clinical Decision Support"/>
<contact>
<name value="Clinical Decision Support"/>
<telecom>
<system value="url"/>
<value value="http://www.hl7.org/Special/committees/dss"/>
</telecom>
</contact>
<description value="The role that the assertion variable plays."/>
<jurisdiction>
<coding>
<system value="http://unstats.un.org/unsd/methods/m49/m49.htm"/>
<code value="001"/>
<display value="World"/>
</coding>
</jurisdiction>
<caseSensitive value="true"/>
<valueSet value="http://hl7.org/fhir/ValueSet/statistic-model-code"/>
<content value="complete"/>
<concept>
<code value="oneTailedTest"/>
<display value="one-tailed test (1 threshold)"/>
<definition
value="Used for one-tailed test (1 threshold), no additional elements needed"/>
</concept>
<concept>
<code value="twoTailedTest"/>
<display value="two-tailed test (2 thresholds)"/>
<definition
value="Used for two-tailed test (2 threshold), no additional elements needed"/>
</concept>
<concept>
<code value="zTest"/>
<display value="z-test"/>
<definition value="Used for z-test, no additional elements needed"/>
</concept>
<concept>
<code value="oneSampleTTest"/>
<display value="1-sample t-test"/>
<definition
value="Used for 1-sample t-test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="twoSampleTTest"/>
<display value="2-sample t-test"/>
<definition
value="Used for 2-sample t-test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="pairedTTest"/>
<display value="paired t-test"/>
<definition
value="Used for paired t-test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="chiSquareTest"/>
<display value="Chi-square test"/>
<definition
value="Used for Chi-square test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="chiSquareTestTrend"/>
<display value="Chi-square test for trend"/>
<definition
value="Used for Chi-square test for trend, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="pearsonCorrelation"/>
<display value="Pearson correlation"/>
<definition
value="Used for Pearson correlation, no additional elements needed"/>
</concept>
<concept>
<code value="anova"/>
<display value="ANOVA (ANalysis Of VAriance)"/>
<definition
value="Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="anovaOneWay"/>
<display value="one-way ANOVA"/>
<definition
value="Used for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="anovaTwoWay"/>
<display value="2-way ANOVA without replication"/>
<definition
value="Used for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="anovaTwoWayReplication"/>
<display value="2-way ANOVA with replication"/>
<definition
value="Used for 2-way ANOVA with replication method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="manova"/>
<display value="multivariate ANOVA (MANOVA)"/>
<definition
value="Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="anovaThreeWay"/>
<display value="3-way ANOVA"/>
<definition
value="Used for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="signTest"/>
<display value="sign test"/>
<definition value="Used for sign test, no additional elements needed"/>
</concept>
<concept>
<code value="wilcoxonSignedRankTest"/>
<display value="Wilcoxon signed-rank test"/>
<definition
value="Used for Wilcoxon signed-rank test, no additional elements needed"/>
</concept>
<concept>
<code value="wilcoxonRankSumTest"/>
<display value="Wilcoxon rank-sum test"/>
<definition
value="Used for Wilcoxon rank-sum test, no additional elements needed"/>
</concept>
<concept>
<code value="mannWhitneyUTest"/>
<display value="Mann-Whitney U test"/>
<definition
value="Used for Mann-Whitney U test, no additional elements needed"/>
</concept>
<concept>
<code value="fishersExactTest"/>
<display value="Fisher’s exact test"/>
<definition
value="Used for Fisher's exact test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="mcnemarsTest"/>
<display value="McNemar’s test"/>
<definition
value="Used for McNemar's test, no additional elements needed"/>
</concept>
<concept>
<code value="kruskalWallisTest"/>
<display value="Kruskal Wallis test"/>
<definition
value="Used for Kruskal Wallis test, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="spearmanCorrelation"/>
<display value="Spearman correlation"/>
<definition
value="Used for Spearman correlation, no additional elements needed"/>
</concept>
<concept>
<code value="kendallCorrelation"/>
<display value="Kendall correlation"/>
<definition
value="Used for Kendall correlation, no additional elements needed"/>
</concept>
<concept>
<code value="friedmanTest"/>
<display value="Friedman test"/>
<definition
value="Used for Friedman test, no additional elements needed"/>
</concept>
<concept>
<code value="goodmanKruskasGamma"/>
<display value="Goodman Kruska’s Gamma"/>
<definition
value="Used for Goodman Kruska’s Gamma, no additional elements needed"/>
</concept>
<concept>
<code value="glm"/>
<display value="GLM (Generalized Linear Model)"/>
<definition
value="Used for GLM (Generalized Linear Model), no additional elements needed"/>
</concept>
<concept>
<code value="glmProbit"/>
<display value="GLM with probit link"/>
<definition
value="Used for GLM with probit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmLogit"/>
<display value="GLM with logit link"/>
<definition
value="Used for GLM with logit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmIdentity"/>
<display value="GLM with identity link"/>
<definition
value="Used for GLM with identity link, no additional elements needed"/>
</concept>
<concept>
<code value="glmLog"/>
<display value="GLM with log link"/>
<definition
value="Used for GLM with log link, no additional elements needed"/>
</concept>
<concept>
<code value="glmGeneralizedLogit"/>
<display value="GLM with generalized logit link"/>
<definition
value="Used for GLM with generalized logit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmm"/>
<display value="Generalized linear mixed model (GLMM)"/>
<definition
value="Used for Generalized linear mixed model (GLMM), no additional elements needed"/>
</concept>
<concept>
<code value="glmmProbit"/>
<display value="GLMM with probit link"/>
<definition
value="Used for GLMM with probit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmmLogit"/>
<display value="GLMM with logit link"/>
<definition
value="Used for GLMM with logit link, no additional elements needed"/>
</concept>
<concept>
<code value="glmmIdentity"/>
<display value="GLMM with identity link"/>
<definition
value="Used for GLMM with identity link, no additional elements needed"/>
</concept>
<concept>
<code value="glmmLog"/>
<display value="GLMM with log link"/>
<definition
value="Used for GLMM with log link, no additional elements needed"/>
</concept>
<concept>
<code value="glmmGeneralizedLogit"/>
<display value="GLMM with generalized logit link"/>
<definition
value="Used for GLMM with generalized logit link, no additional elements needed"/>
</concept>
<concept>
<code value="linearRegression"/>
<display value="Linear Regression"/>
<definition
value="Used for linear regression method of analysis, no additional elements needed"/>
</concept>
<concept>
<code value="logisticRegression"/>
<display value="Logistic Regression"/>
<definition
value="Used for logistic regression method of analysis, no additional elements needed"/>
</concept>
<concept>
<code value="polynomialRegression"/>
<display value="Polynomial Regression"/>
<definition
value="Used for Polynomial regression method of analysis, no additional elements needed"/>
</concept>
<concept>
<code value="coxProportionalHazards"/>
<display value="Cox Proportional Hazards"/>
<definition
value="Used for Cox proportional hazards method of analysis, no additional elements needed"/>
</concept>
<concept>
<code value="binomialDistributionRegression"/>
<display value="Binomial Distribution for Regression"/>
<definition
value="Used for Binomial Distribution for Regression, no additional elements needed"/>
</concept>
<concept>
<code value="multinomialDistributionRegression"/>
<display value="Multinomial Distribution for Regression"/>
<definition
value="Used for Multinomial Distribution for Regression, no additional elements needed"/>
</concept>
<concept>
<code value="poissonRegression"/>
<display value="Poisson Regression"/>
<definition
value="Used for Poisson Regression, no additional elements needed"/>
</concept>
<concept>
<code value="negativeBinomialRegression"/>
<display value="Negative Binomial Regression"/>
<definition
value="Used for Negative Binomial Regression, no additional elements needed"/>
</concept>
<concept>
<code value="zeroCellConstant"/>
<display value="Zero-cell adjustment with constant"/>
<definition
value="Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with "value" to define the constant"/>
</concept>
<concept>
<code value="zeroCellContinuityCorrection"/>
<display value="Zero-cell adjustment with continuity correction"/>
<definition
value="Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed"/>
</concept>
<concept>
<code value="adjusted"/>
<display value="Adjusted analysis"/>
<definition
value="Used for adjusted analysis, paired with variable element(s)"/>
</concept>
<concept>
<code value="interactionTerm"/>
<display value="Interaction term"/>
<definition
value="Used for interaction term, paired with "value" and two or more variable elements"/>
</concept>
<concept>
<code value="manteHaenszelMethod"/>
<display value="Mantel-Haenszel method"/>
<definition
value="Used for Mantel-Haenszel method, no additional elements needed"/>
</concept>
<concept>
<code value="metaAnalysis"/>
<display value="Meta-analysis"/>
<definition
value="Used for meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="inverseVariance"/>
<display value="Inverse variance method"/>
<definition
value="Used for inverse variance method of meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="petoMethod"/>
<display value="Peto method"/>
<definition
value="Used for Peto method of meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="hartungKnapp"/>
<display value="Hartung-Knapp adjustment"/>
<definition
value="Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="modifiedHartungKnapp"/>
<display value="Modified Hartung-Knapp adjustment"/>
<definition
value="Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed"/>
</concept>
<concept>
<code value="effectsFixed"/>
<display value="Fixed-effects"/>
<definition
value="From a fixed-effects analysis, no additional elements needed"/>
</concept>
<concept>
<code value="effectsRandom"/>
<display value="Random-effects"/>
<definition
value="From a random-effects analysis, no additional elements needed"/>
</concept>
<concept>
<code value="chiSquareTestHomogeneity"/>
<display value="Chi-square test for homogeneity"/>
<definition
value="Used for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom"/>
</concept>
<concept>
<code value="dersimonianLairdMethod"/>
<display value="Dersimonian-Laird method"/>
<definition
value="Used for Dersimonian-Laird method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="pauleMandelMethod"/>
<display value="Paule-Mandel method"/>
<definition
value="Used for Paule-Mandel method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="restrictedLikelihood"/>
<display value="Restricted Maximum Likelihood method"/>
<definition
value="Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="maximumLikelihood"/>
<display value="Maximum Likelihood method"/>
<definition
value="Used for Maximum Likelihood method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="empiricalBayes"/>
<display value="Empirical Bayes method"/>
<definition
value="Used for Empirical Bayes method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="hunterSchmidt"/>
<display value="Hunter-Schmidt method"/>
<definition
value="Used for Hunter-Schmidt method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="sidikJonkman"/>
<display value="Sidik-Jonkman method"/>
<definition
value="Used for Sidik-Jonkman method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="hedgesMethod"/>
<display value="Hedges method"/>
<definition
value="Used for Hedges method of tau estimation, no additional elements needed"/>
</concept>
<concept>
<code value="tauDersimonianLaird"/>
<display value="Dersimonian-Laird method"/>
<definition value="Dersimonian-Laird method for tau squared"/>
</concept>
<concept>
<code value="tauPauleMandel"/>
<display value="Paule-Mandel method"/>
<definition value="Paule-Mandel method for tau squared"/>
</concept>
<concept>
<code value="tauRestrictedMaximumLikelihood"/>
<display value="Restricted Maximum Likelihood method"/>
<definition value="Restricted Maximum Likelihood method for tau squared"/>
</concept>
<concept>
<code value="tauMaximumLikelihood"/>
<display value="Maximum Likelihood method"/>
<definition value="Maximum Likelihood method for tau squared"/>
</concept>
<concept>
<code value="tauEmpiricalBayes"/>
<display value="Empirical Bayes method"/>
<definition value="Empirical Bayes method for tau squared"/>
</concept>
<concept>
<code value="tauHunterSchmidt"/>
<display value="Hunter-Schmidt method"/>
<definition value="Hunter-Schmidt method for tau squared"/>
</concept>
<concept>
<code value="tauSidikJonkman"/>
<display value="Sidik-Jonkman method"/>
<definition value="Sidik-Jonkman method for tau squared"/>
</concept>
<concept>
<code value="tauHedges"/>
<display value="Hedges method"/>
<definition value="Hedges method for tau squared"/>
</concept>
<concept>
<code value="poolMantelHaenzsel"/>
<display value="Mantel-Haenszel method"/>
<definition value="Mantel-Haenszel method for pooling in meta-analysis"/>
</concept>
<concept>
<code value="poolInverseVariance"/>
<display value="Inverse variance method"/>
<definition value="Inverse variance method for pooling in meta-analysis"/>
</concept>
<concept>
<code value="poolPeto"/>
<display value="Peto method"/>
<definition value="Peto method for pooling in meta-analysis"/>
</concept>
<concept>
<code value="poolGeneralizedLinearMixedModel"/>
<display value="Generalized linear mixed model (GLMM)"/>
<definition
value="Generalized linear mixed model (GLMM) method for pooling in meta-analysis"/>
</concept>
</CodeSystem>