Release 4B Snapshot #1

This page is part of the FHIR Specification v4.3.0-snapshot1: R4B Snapshot to support the Jan 2022 Connectathon. About the R4B version of FHIR. The current officially released version is 4.3.0. For a full list of available versions, see the Directory of published versions . Page versions: R5 R4B

4.4.1.171 Value Set http://hl7.org/fhir/ValueSet/statistic-model-code

Clinical Decision Support

Work Group

Maturity Level: 1

Trial Use

Use Context: Not yet ready for Production use

This is a value set defined by the FHIR project.

Summary

Defining URL:

http://hl7.org/fhir/ValueSet/statistic-model-code

Version:

4.3.0-snapshot1

Name:

StatisticModelCode

Title:

StatisticModelCode

Definition:

The handling of the variable in statistical analysis for exposures or outcomes.

Committee:

Clinical Decision Support

Work Group

OID:

2.16.840.1.113883.4.642.3.1540 (for OID based terminology systems)

Source Resource

XML / JSON

This value set is used in the following places:

CodeSystem: This value set is the designated 'entire code system' value set for StatisticModelCode
Resource: Evidence.statistic.modelCharacteristic.code (CodeableConcept / Extensible)

4.4.1.171.1 Content Logical Definition

Include all codes defined in http://terminology.hl7.org/CodeSystem/statistic-model-code

4.4.1.171.2 Expansion

This expansion generated 20 Dec 2021

This value set contains 79 concepts

Expansion based on StatisticModelCode v4.3.0-snapshot1 (CodeSystem)

All codes in this table are from the system http://terminology.hl7.org/CodeSystem/statistic-model-code

Code	Display	Definition
oneTailedTest	one-tailed test (1 threshold)	Used for one-tailed test (1 threshold), no additional elements needed
twoTailedTest	two-tailed test (2 thresholds)	Used for two-tailed test (2 threshold), no additional elements needed
zTest	z-test	Used for z-test, no additional elements needed
oneSampleTTest	1-sample t-test	Used for 1-sample t-test, may be paired with "value" to express degrees of freedom
twoSampleTTest	2-sample t-test	Used for 2-sample t-test, may be paired with "value" to express degrees of freedom
pairedTTest	paired t-test	Used for paired t-test, may be paired with "value" to express degrees of freedom
chiSquareTest	Chi-square test	Used for Chi-square test, may be paired with "value" to express degrees of freedom
chiSquareTestTrend	Chi-square test for trend	Used for Chi-square test for trend, may be paired with "value" to express degrees of freedom
pearsonCorrelation	Pearson correlation	Used for Pearson correlation, no additional elements needed
anova	ANOVA (ANalysis Of VAriance)	Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom
anovaOneWay	one-way ANOVA	Used for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
anovaTwoWay	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	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	multivariate ANOVA (MANOVA)	Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom
anovaThreeWay	3-way ANOVA	Used for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
signTest	sign test	Used for sign test, no additional elements needed
wilcoxonSignedRankTest	Wilcoxon signed-rank test	Used for Wilcoxon signed-rank test, no additional elements needed
wilcoxonRankSumTest	Wilcoxon rank-sum test	Used for Wilcoxon rank-sum test, no additional elements needed
mannWhitneyUTest	Mann-Whitney U test	Used for Mann-Whitney U test, no additional elements needed
fishersExactTest	Fisher’s exact test	Used for Fisher's exact test, may be paired with "value" to express degrees of freedom
mcnemarsTest	McNemar’s test	Used for McNemar's test, no additional elements needed
kruskalWallisTest	Kruskal Wallis test	Used for Kruskal Wallis test, may be paired with "value" to express degrees of freedom
spearmanCorrelation	Spearman correlation	Used for Spearman correlation, no additional elements needed
kendallCorrelation	Kendall correlation	Used for Kendall correlation, no additional elements needed
friedmanTest	Friedman test	Used for Friedman test, no additional elements needed
goodmanKruskasGamma	Goodman Kruska’s Gamma	Used for Goodman Kruska’s Gamma, no additional elements needed
glm	GLM (Generalized Linear Model)	Used for GLM (Generalized Linear Model), no additional elements needed
glmProbit	GLM with probit link	Used for GLM with probit link, no additional elements needed
glmLogit	GLM with logit link	Used for GLM with logit link, no additional elements needed
glmIdentity	GLM with identity link	Used for GLM with identity link, no additional elements needed
glmLog	GLM with log link	Used for GLM with log link, no additional elements needed
glmGeneralizedLogit	GLM with generalized logit link	Used for GLM with generalized logit link, no additional elements needed
glmm	Generalized linear mixed model (GLMM)	Used for Generalized linear mixed model (GLMM), no additional elements needed
glmmProbit	GLMM with probit link	Used for GLMM with probit link, no additional elements needed
glmmLogit	GLMM with logit link	Used for GLMM with logit link, no additional elements needed
glmmIdentity	GLMM with identity link	Used for GLMM with identity link, no additional elements needed
glmmLog	GLMM with log link	Used for GLMM with log link, no additional elements needed
glmmGeneralizedLogit	GLMM with generalized logit link	Used for GLMM with generalized logit link, no additional elements needed
linearRegression	Linear Regression	Used for linear regression method of analysis, no additional elements needed
logisticRegression	Logistic Regression	Used for logistic regression method of analysis, no additional elements needed
polynomialRegression	Polynomial Regression	Used for Polynomial regression method of analysis, no additional elements needed
coxProportionalHazards	Cox Proportional Hazards	Used for Cox proportional hazards method of analysis, no additional elements needed
binomialDistributionRegression	Binomial Distribution for Regression	Used for Binomial Distribution for Regression, no additional elements needed
multinomialDistributionRegression	Multinomial Distribution for Regression	Used for Multinomial Distribution for Regression, no additional elements needed
poissonRegression	Poisson Regression	Used for Poisson Regression, no additional elements needed
negativeBinomialRegression	Negative Binomial Regression	Used for Negative Binomial Regression, no additional elements needed
zeroCellConstant	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	Zero-cell adjustment with continuity correction	Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed
adjusted	Adjusted analysis	Used for adjusted analysis, paired with variable element(s)
interactionTerm	Interaction term	Used for interaction term, paired with "value" and two or more variable elements
manteHaenszelMethod	Mantel-Haenszel method	Used for Mantel-Haenszel method, no additional elements needed
metaAnalysis	Meta-analysis	Used for meta-analysis, no additional elements needed
inverseVariance	Inverse variance method	Used for inverse variance method of meta-analysis, no additional elements needed
petoMethod	Peto method	Used for Peto method of meta-analysis, no additional elements needed
hartungKnapp	Hartung-Knapp adjustment	Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
modifiedHartungKnapp	Modified Hartung-Knapp adjustment	Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
effectsFixed	Fixed-effects	From a fixed-effects analysis, no additional elements needed
effectsRandom	Random-effects	From a random-effects analysis, no additional elements needed
chiSquareTestHomogeneity	Chi-square test for homogeneity	Used for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom
dersimonianLairdMethod	Dersimonian-Laird method	Used for Dersimonian-Laird method of tau estimation, no additional elements needed
pauleMandelMethod	Paule-Mandel method	Used for Paule-Mandel method of tau estimation, no additional elements needed
restrictedLikelihood	Restricted Maximum Likelihood method	Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed
maximumLikelihood	Maximum Likelihood method	Used for Maximum Likelihood method of tau estimation, no additional elements needed
empiricalBayes	Empirical Bayes method	Used for Empirical Bayes method of tau estimation, no additional elements needed
hunterSchmidt	Hunter-Schmidt method	Used for Hunter-Schmidt method of tau estimation, no additional elements needed
sidikJonkman	Sidik-Jonkman method	Used for Sidik-Jonkman method of tau estimation, no additional elements needed
hedgesMethod	Hedges method	Used for Hedges method of tau estimation, no additional elements needed
tauDersimonianLaird	Dersimonian-Laird method	Dersimonian-Laird method for tau squared
tauPauleMandel	Paule-Mandel method	Paule-Mandel method for tau squared
tauRestrictedMaximumLikelihood	Restricted Maximum Likelihood method	Restricted Maximum Likelihood method for tau squared
tauMaximumLikelihood	Maximum Likelihood method	Maximum Likelihood method for tau squared
tauEmpiricalBayes	Empirical Bayes method	Empirical Bayes method for tau squared
tauHunterSchmidt	Hunter-Schmidt method	Hunter-Schmidt method for tau squared
tauSidikJonkman	Sidik-Jonkman method	Sidik-Jonkman method for tau squared
tauHedges	Hedges method	Hedges method for tau squared
poolMantelHaenzsel	Mantel-Haenszel method	Mantel-Haenszel method for pooling in meta-analysis
poolInverseVariance	Inverse variance method	Inverse variance method for pooling in meta-analysis
poolPeto	Peto method	Peto method for pooling in meta-analysis
poolGeneralizedLinearMixedModel	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