This page is part of the FHIR Specification (v5.0.0-ballot: FHIR R5 Ballot Preview). The current version which supercedes this version is 5.0.0. For a full list of available versions, see the Directory of published versions . Page versions: R5 R4B
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" : "2022-09-07T10:58:29.429+10:00", "profile" : ["http://hl7.org/fhir/StructureDefinition/shareablecodesystem"] }, "text" : { "status" : "generated", "div" : "<div>!-- Snipped for Brevity --></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://terminology.hl7.org/CodeSystem/statistic-model-code", "identifier" : [{ "system" : "urn:ietf:rfc:3986", "value" : "urn:oid:2.16.840.1.113883.4.642.4.1938" }], "version" : "5.0.0-ballot", "name" : "StatisticModelCode", "title" : "StatisticModelCode", "status" : "draft", "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.", "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.