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Generated Narrative: CodeSystem statistic-model-code

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Profile: Shareable CodeSystem

This case-sensitive code system http://terminology.hl7.org/CodeSystem/statistic-model-code defines the following codes:

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

# description
The role that the assertion variable plays.

# concept[].definition
Used for one-tailed test (1 threshold), no additional elements needed

# concept[].definition
Used for two-tailed test (2 threshold), no additional elements needed

# concept[].definition
Used for z-test, no additional elements needed

# concept[].definition
Used for 1-sample t-test, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for 2-sample t-test, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for paired t-test, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for Chi-square test, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for Chi-square test for trend, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for Pearson correlation, no additional elements needed

# concept[].definition
Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for 2-way ANOVA with replication method of analysis, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for sign test, no additional elements needed

# concept[].definition
Used for Wilcoxon signed-rank test, no additional elements needed

# concept[].definition
Used for Wilcoxon rank-sum test, no additional elements needed

# concept[].definition
Used for Mann-Whitney U test, no additional elements needed

# concept[].definition
Used for Fisher's exact test, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for McNemar's test, no additional elements needed

# concept[].definition
Used for Kruskal Wallis test, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for Spearman correlation, no additional elements needed

# concept[].definition
Used for Kendall correlation, no additional elements needed

# concept[].definition
Used for Friedman test, no additional elements needed

# concept[].definition
Used for Goodman Kruska’s Gamma, no additional elements needed

# concept[].definition
Used for GLM (Generalized Linear Model), no additional elements needed

# concept[].definition
Used for GLM with probit link, no additional elements needed

# concept[].definition
Used for GLM with logit link, no additional elements needed

# concept[].definition
Used for GLM with identity link, no additional elements needed

# concept[].definition
Used for GLM with log link, no additional elements needed

# concept[].definition
Used for GLM with generalized logit link, no additional elements needed

# concept[].definition
Used for Generalized linear mixed model (GLMM), no additional elements needed

# concept[].definition
Used for GLMM with probit link, no additional elements needed

# concept[].definition
Used for GLMM with logit link, no additional elements needed

# concept[].definition
Used for GLMM with identity link, no additional elements needed

# concept[].definition
Used for GLMM with log link, no additional elements needed

# concept[].definition
Used for GLMM with generalized logit link, no additional elements needed

# concept[].definition
Used for linear regression method of analysis, no additional elements needed

# concept[].definition
Used for logistic regression method of analysis, no additional elements needed

# concept[].definition
Used for Polynomial regression method of analysis, no additional elements needed

# concept[].definition
Used for Cox proportional hazards method of analysis, no additional elements needed

# concept[].definition
Used for Binomial Distribution for Regression, no additional elements needed

# concept[].definition
Used for Multinomial Distribution for Regression, no additional elements needed

# concept[].definition
Used for Poisson Regression, no additional elements needed

# concept[].definition
Used for Negative Binomial Regression, no additional elements needed

# concept[].definition
Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with "value" to define the constant

# concept[].display
Zero-cell adjustment with continuity correction

# concept[].definition
Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed

# concept[].definition
Used for adjusted analysis, paired with variable element(s)

# concept[].definition
Used for interaction term, paired with "value" and two or more variable elements

# concept[].definition
Used for Mantel-Haenszel method, no additional elements needed

# concept[].definition
Used for meta-analysis, no additional elements needed

# concept[].definition
Used for inverse variance method of meta-analysis, no additional elements needed

# concept[].definition
Used for Peto method of meta-analysis, no additional elements needed

# concept[].definition
From a fixed-effects analysis, no additional elements needed

# concept[].definition
From a random-effects analysis, no additional elements needed

# concept[].definition
Used for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom

# concept[].definition
Used for Dersimonian-Laird method of tau estimation, no additional elements needed

# concept[].definition
Used for Paule-Mandel method of tau estimation, no additional elements needed

# concept[].definition
Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed

# concept[].definition
Used for Maximum Likelihood method of tau estimation, no additional elements needed

# concept[].definition
Used for Empirical Bayes method of tau estimation, no additional elements needed

# concept[].definition
Used for Hunter-Schmidt method of tau estimation, no additional elements needed

# concept[].definition
Used for Sidik-Jonkman method of tau estimation, no additional elements needed

# concept[].definition
Used for Hedges method of tau estimation, no additional elements needed

# concept[].definition
Dersimonian-Laird method for tau squared

# concept[].definition
Restricted Maximum Likelihood method for tau squared

# concept[].definition
Maximum Likelihood method for tau squared

# concept[].definition
Mantel-Haenszel method for pooling in meta-analysis

# concept[].definition
Inverse variance method for pooling in meta-analysis

# concept[].definition
Peto method for pooling in meta-analysis

# concept[].definition
Generalized linear mixed model (GLMM) method for pooling in meta-analysis