R6 Ballot (1st Draft)
TerminologyThis page is part of the FHIR Specification v6.0.0-ballot1: Release 6 Ballot (1st Draft) (see Ballot Notes). The current version is 5.0.0. For a full list of available versions, see the Directory of published versions 
| Clinical Decision Support Work Group | Maturity Level: N/A | Standards Status: Informative |
Raw JSON (canonical form + also see JSON Format Specification)
Definition for Code SystemStatisticModelCode
{
"resourceType" : "CodeSystem",
"id" : "statistic-model-code",
"meta" : {
"lastUpdated" : "2023-12-18T15:12:07.602+11:00",
"profile" : ["http://hl7.org/fhir/StructureDefinition/shareablecodesystem"]
},
"text" : {
"status" : "generated",
"div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p>This case-sensitive 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>"
},
"extension" : [{
"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://hl7.org/fhir/statistic-model-code",
"identifier" : [{
"system" : "urn:ietf:rfc:3986",
"value" : "urn:oid:2.16.840.1.113883.4.642.4.1938"
}],
"version" : "6.0.0-ballot1",
"name" : "StatisticModelCode",
"title" : "Statistic Model Code",
"status" : "active",
"experimental" : false,
"date" : "2021-08-05T12:00:00+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.",
"jurisdiction" : [{
"coding" : [{
"system" : "http://unstats.un.org/unsd/methods/m49/m49.htm",
"code" : "001",
"display" : "World"
}]
}],
"caseSensitive" : true,
"valueSet" : "http://hl7.org/fhir/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"
}]
}
Usage note: every effort has been made to ensure that the examples are correct and useful, but they are not a normative part of the specification.
FHIR ®© HL7.org 2011+. FHIR R6 hl7.fhir.core#6.0.0-ballot1 generated on Mon, Dec 18, 2023 15:15+1100.
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