This page is part of the FHIR Specification (v5.0.0-draft-final: Final QA Preview for R5 - see ballot notes). 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: 1 | Trial Use | Use Context: Country: World, Not yet ready for Production use |
Official URL: http://hl7.org/fhir/ValueSet/statistic-model-code
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Version: 5.0.0-draft-final | |||
draft as of 2021-08-05 | Computable Name: StatisticModelCode | |||
Flags: Experimental, Immutable | OID: 2.16.840.1.113883.4.642.3.3046 |
This value set is used in the following places:
The handling of the variable in statistical analysis for exposures or outcomes.
http://hl7.org/fhir/statistic-model-code
This expansion generated 01 Mar 2023
This value set contains 79 concepts
Expansion based on Statistic Model Code v5.0.0-draft-final (CodeSystem)
Code | System | Display | Definition |
oneTailedTest | http://hl7.org/fhir/statistic-model-code | one-tailed test (1 threshold) | Used for one-tailed test (1 threshold), no additional elements needed |
twoTailedTest | http://hl7.org/fhir/statistic-model-code | two-tailed test (2 thresholds) | Used for two-tailed test (2 threshold), no additional elements needed |
zTest | http://hl7.org/fhir/statistic-model-code | z-test | Used for z-test, no additional elements needed |
oneSampleTTest | http://hl7.org/fhir/statistic-model-code | 1-sample t-test | Used for 1-sample t-test, may be paired with "value" to express degrees of freedom |
twoSampleTTest | http://hl7.org/fhir/statistic-model-code | 2-sample t-test | Used for 2-sample t-test, may be paired with "value" to express degrees of freedom |
pairedTTest | http://hl7.org/fhir/statistic-model-code | paired t-test | Used for paired t-test, may be paired with "value" to express degrees of freedom |
chiSquareTest | http://hl7.org/fhir/statistic-model-code | Chi-square test | Used for Chi-square test, may be paired with "value" to express degrees of freedom |
chiSquareTestTrend | http://hl7.org/fhir/statistic-model-code | Chi-square test for trend | Used for Chi-square test for trend, may be paired with "value" to express degrees of freedom |
pearsonCorrelation | http://hl7.org/fhir/statistic-model-code | Pearson correlation | Used for Pearson correlation, no additional elements needed |
anova | http://hl7.org/fhir/statistic-model-code | ANOVA (ANalysis Of VAriance) | Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom |
anovaOneWay | http://hl7.org/fhir/statistic-model-code | one-way ANOVA | Used for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom |
anovaTwoWay | http://hl7.org/fhir/statistic-model-code | 2-way ANOVA without replication | Used for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom |
anovaTwoWayReplication | http://hl7.org/fhir/statistic-model-code | 2-way ANOVA with replication | Used for 2-way ANOVA with replication method of analysis, may be paired with "value" to express degrees of freedom |
manova | http://hl7.org/fhir/statistic-model-code | multivariate ANOVA (MANOVA) | Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom |
anovaThreeWay | http://hl7.org/fhir/statistic-model-code | 3-way ANOVA | Used for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom |
signTest | http://hl7.org/fhir/statistic-model-code | sign test | Used for sign test, no additional elements needed |
wilcoxonSignedRankTest | http://hl7.org/fhir/statistic-model-code | Wilcoxon signed-rank test | Used for Wilcoxon signed-rank test, no additional elements needed |
wilcoxonRankSumTest | http://hl7.org/fhir/statistic-model-code | Wilcoxon rank-sum test | Used for Wilcoxon rank-sum test, no additional elements needed |
mannWhitneyUTest | http://hl7.org/fhir/statistic-model-code | Mann-Whitney U test | Used for Mann-Whitney U test, no additional elements needed |
fishersExactTest | http://hl7.org/fhir/statistic-model-code | Fisher’s exact test | Used for Fisher's exact test, may be paired with "value" to express degrees of freedom |
mcnemarsTest | http://hl7.org/fhir/statistic-model-code | McNemar’s test | Used for McNemar's test, no additional elements needed |
kruskalWallisTest | http://hl7.org/fhir/statistic-model-code | Kruskal Wallis test | Used for Kruskal Wallis test, may be paired with "value" to express degrees of freedom |
spearmanCorrelation | http://hl7.org/fhir/statistic-model-code | Spearman correlation | Used for Spearman correlation, no additional elements needed |
kendallCorrelation | http://hl7.org/fhir/statistic-model-code | Kendall correlation | Used for Kendall correlation, no additional elements needed |
friedmanTest | http://hl7.org/fhir/statistic-model-code | Friedman test | Used for Friedman test, no additional elements needed |
goodmanKruskasGamma | http://hl7.org/fhir/statistic-model-code | Goodman Kruska’s Gamma | Used for Goodman Kruska’s Gamma, no additional elements needed |
glm | http://hl7.org/fhir/statistic-model-code | GLM (Generalized Linear Model) | Used for GLM (Generalized Linear Model), no additional elements needed |
glmProbit | http://hl7.org/fhir/statistic-model-code | GLM with probit link | Used for GLM with probit link, no additional elements needed |
glmLogit | http://hl7.org/fhir/statistic-model-code | GLM with logit link | Used for GLM with logit link, no additional elements needed |
glmIdentity | http://hl7.org/fhir/statistic-model-code | GLM with identity link | Used for GLM with identity link, no additional elements needed |
glmLog | http://hl7.org/fhir/statistic-model-code | GLM with log link | Used for GLM with log link, no additional elements needed |
glmGeneralizedLogit | http://hl7.org/fhir/statistic-model-code | GLM with generalized logit link | Used for GLM with generalized logit link, no additional elements needed |
glmm | http://hl7.org/fhir/statistic-model-code | Generalized linear mixed model (GLMM) | Used for Generalized linear mixed model (GLMM), no additional elements needed |
glmmProbit | http://hl7.org/fhir/statistic-model-code | GLMM with probit link | Used for GLMM with probit link, no additional elements needed |
glmmLogit | http://hl7.org/fhir/statistic-model-code | GLMM with logit link | Used for GLMM with logit link, no additional elements needed |
glmmIdentity | http://hl7.org/fhir/statistic-model-code | GLMM with identity link | Used for GLMM with identity link, no additional elements needed |
glmmLog | http://hl7.org/fhir/statistic-model-code | GLMM with log link | Used for GLMM with log link, no additional elements needed |
glmmGeneralizedLogit | http://hl7.org/fhir/statistic-model-code | GLMM with generalized logit link | Used for GLMM with generalized logit link, no additional elements needed |
linearRegression | http://hl7.org/fhir/statistic-model-code | Linear Regression | Used for linear regression method of analysis, no additional elements needed |
logisticRegression | http://hl7.org/fhir/statistic-model-code | Logistic Regression | Used for logistic regression method of analysis, no additional elements needed |
polynomialRegression | http://hl7.org/fhir/statistic-model-code | Polynomial Regression | Used for Polynomial regression method of analysis, no additional elements needed |
coxProportionalHazards | http://hl7.org/fhir/statistic-model-code | Cox Proportional Hazards | Used for Cox proportional hazards method of analysis, no additional elements needed |
binomialDistributionRegression | http://hl7.org/fhir/statistic-model-code | Binomial Distribution for Regression | Used for Binomial Distribution for Regression, no additional elements needed |
multinomialDistributionRegression | http://hl7.org/fhir/statistic-model-code | Multinomial Distribution for Regression | Used for Multinomial Distribution for Regression, no additional elements needed |
poissonRegression | http://hl7.org/fhir/statistic-model-code | Poisson Regression | Used for Poisson Regression, no additional elements needed |
negativeBinomialRegression | http://hl7.org/fhir/statistic-model-code | Negative Binomial Regression | Used for Negative Binomial Regression, no additional elements needed |
zeroCellConstant | http://hl7.org/fhir/statistic-model-code | Zero-cell adjustment with constant | Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with "value" to define the constant |
zeroCellContinuityCorrection | http://hl7.org/fhir/statistic-model-code | Zero-cell adjustment with continuity correction | Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed |
adjusted | http://hl7.org/fhir/statistic-model-code | Adjusted analysis | Used for adjusted analysis, paired with variable element(s) |
interactionTerm | http://hl7.org/fhir/statistic-model-code | Interaction term | Used for interaction term, paired with "value" and two or more variable elements |
manteHaenszelMethod | http://hl7.org/fhir/statistic-model-code | Mantel-Haenszel method | Used for Mantel-Haenszel method, no additional elements needed |
metaAnalysis | http://hl7.org/fhir/statistic-model-code | Meta-analysis | Used for meta-analysis, no additional elements needed |
inverseVariance | http://hl7.org/fhir/statistic-model-code | Inverse variance method | Used for inverse variance method of meta-analysis, no additional elements needed |
petoMethod | http://hl7.org/fhir/statistic-model-code | Peto method | Used for Peto method of meta-analysis, no additional elements needed |
hartungKnapp | http://hl7.org/fhir/statistic-model-code | Hartung-Knapp adjustment | Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed |
modifiedHartungKnapp | http://hl7.org/fhir/statistic-model-code | Modified Hartung-Knapp adjustment | Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed |
effectsFixed | http://hl7.org/fhir/statistic-model-code | Fixed-effects | From a fixed-effects analysis, no additional elements needed |
effectsRandom | http://hl7.org/fhir/statistic-model-code | Random-effects | From a random-effects analysis, no additional elements needed |
chiSquareTestHomogeneity | http://hl7.org/fhir/statistic-model-code | Chi-square test for homogeneity | Used for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom |
dersimonianLairdMethod | http://hl7.org/fhir/statistic-model-code | Dersimonian-Laird method | Used for Dersimonian-Laird method of tau estimation, no additional elements needed |
pauleMandelMethod | http://hl7.org/fhir/statistic-model-code | Paule-Mandel method | Used for Paule-Mandel method of tau estimation, no additional elements needed |
restrictedLikelihood | http://hl7.org/fhir/statistic-model-code | Restricted Maximum Likelihood method | Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed |
maximumLikelihood | http://hl7.org/fhir/statistic-model-code | Maximum Likelihood method | Used for Maximum Likelihood method of tau estimation, no additional elements needed |
empiricalBayes | http://hl7.org/fhir/statistic-model-code | Empirical Bayes method | Used for Empirical Bayes method of tau estimation, no additional elements needed |
hunterSchmidt | http://hl7.org/fhir/statistic-model-code | Hunter-Schmidt method | Used for Hunter-Schmidt method of tau estimation, no additional elements needed |
sidikJonkman | http://hl7.org/fhir/statistic-model-code | Sidik-Jonkman method | Used for Sidik-Jonkman method of tau estimation, no additional elements needed |
hedgesMethod | http://hl7.org/fhir/statistic-model-code | Hedges method | Used for Hedges method of tau estimation, no additional elements needed |
tauDersimonianLaird | http://hl7.org/fhir/statistic-model-code | Dersimonian-Laird method | Dersimonian-Laird method for tau squared |
tauPauleMandel | http://hl7.org/fhir/statistic-model-code | Paule-Mandel method | Paule-Mandel method for tau squared |
tauRestrictedMaximumLikelihood | http://hl7.org/fhir/statistic-model-code | Restricted Maximum Likelihood method | Restricted Maximum Likelihood method for tau squared |
tauMaximumLikelihood | http://hl7.org/fhir/statistic-model-code | Maximum Likelihood method | Maximum Likelihood method for tau squared |
tauEmpiricalBayes | http://hl7.org/fhir/statistic-model-code | Empirical Bayes method | Empirical Bayes method for tau squared |
tauHunterSchmidt | http://hl7.org/fhir/statistic-model-code | Hunter-Schmidt method | Hunter-Schmidt method for tau squared |
tauSidikJonkman | http://hl7.org/fhir/statistic-model-code | Sidik-Jonkman method | Sidik-Jonkman method for tau squared |
tauHedges | http://hl7.org/fhir/statistic-model-code | Hedges method | Hedges method for tau squared |
poolMantelHaenzsel | http://hl7.org/fhir/statistic-model-code | Mantel-Haenszel method | Mantel-Haenszel method for pooling in meta-analysis |
poolInverseVariance | http://hl7.org/fhir/statistic-model-code | Inverse variance method | Inverse variance method for pooling in meta-analysis |
poolPeto | http://hl7.org/fhir/statistic-model-code | Peto method | Peto method for pooling in meta-analysis |
poolGeneralizedLinearMixedModel | http://hl7.org/fhir/statistic-model-code | Generalized linear mixed model (GLMM) | Generalized linear mixed model (GLMM) method for pooling in meta-analysis |
See the full registry of value sets defined as part of FHIR.
Explanation of the columns that may appear on this page:
Lvl | A few code lists that FHIR defines are hierarchical - each code is assigned a level. For value sets, levels are mostly used to organize codes for user convenience, but may follow code system hierarchy - see Code System for further information |
Source | The source of the definition of the code (when the value set draws in codes defined elsewhere) |
Code | The code (used as the code in the resource instance). If the code is in italics, this indicates that the code is not selectable ('Abstract') |
Display | The display (used in the display element of a Coding). If there is no display, implementers should not simply display the code, but map the concept into their application |
Definition | An explanation of the meaning of the concept |
Comments | Additional notes about how to use the code |