{"caseSensitive":true,"concept":[{"code":"oneTailedTest","definition":"Used for one-tailed test (1 threshold), no additional elements needed","display":"one-tailed test (1 threshold)"},{"code":"twoTailedTest","definition":"Used for two-tailed test (2 threshold), no additional elements needed","display":"two-tailed test (2 thresholds)"},{"code":"zTest","definition":"Used for z-test, no additional elements needed","display":"z-test"},{"code":"oneSampleTTest","definition":"Used for 1-sample t-test, may be paired with \"value\" to express degrees of freedom","display":"1-sample t-test"},{"code":"twoSampleTTest","definition":"Used for 2-sample t-test, may be paired with \"value\" to express degrees of freedom","display":"2-sample t-test"},{"code":"pairedTTest","definition":"Used for paired t-test, may be paired with \"value\" to express degrees of freedom","display":"paired t-test"},{"code":"chiSquareTest","definition":"Used for Chi-square test, may be paired with \"value\" to express degrees of freedom","display":"Chi-square test"},{"code":"chiSquareTestTrend","definition":"Used for Chi-square test for trend, may be paired with \"value\" to express degrees of freedom","display":"Chi-square test for trend"},{"code":"pearsonCorrelation","definition":"Used for Pearson correlation, no additional elements needed","display":"Pearson correlation"},{"code":"anova","definition":"Used for ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom","display":"ANOVA (ANalysis Of VAriance)"},{"code":"anovaOneWay","definition":"Used for one-way ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom","display":"one-way ANOVA"},{"code":"anovaTwoWay","definition":"Used for 2-way ANOVA without replication method of analysis, may be paired with \"value\" to express degrees of freedom","display":"2-way ANOVA without replication"},{"code":"anovaTwoWayReplication","definition":"Used for 2-way ANOVA with replication method of analysis, may be paired with \"value\" to express degrees of freedom","display":"2-way ANOVA with replication"},{"code":"manova","definition":"Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with \"value\" to express degrees of freedom","display":"multivariate ANOVA (MANOVA)"},{"code":"anovaThreeWay","definition":"Used for 3-way ANOVA method of analysis, may be paired with \"value\" to express degrees of freedom","display":"3-way ANOVA"},{"code":"signTest","definition":"Used for sign test, no additional elements needed","display":"sign test"},{"code":"wilcoxonSignedRankTest","definition":"Used for Wilcoxon signed-rank test, no additional elements needed","display":"Wilcoxon signed-rank test"},{"code":"wilcoxonRankSumTest","definition":"Used for Wilcoxon rank-sum test, no additional elements needed","display":"Wilcoxon rank-sum test"},{"code":"mannWhitneyUTest","definition":"Used for Mann-Whitney U test, no additional elements needed","display":"Mann-Whitney U test"},{"code":"fishersExactTest","definition":"Used for Fisher's exact test, may be paired with \"value\" to express degrees of freedom","display":"Fisher’s exact test"},{"code":"mcnemarsTest","definition":"Used for McNemar's test, no additional elements needed","display":"McNemar’s test"},{"code":"kruskalWallisTest","definition":"Used for Kruskal Wallis test, may be paired with \"value\" to express degrees of freedom","display":"Kruskal Wallis test"},{"code":"spearmanCorrelation","definition":"Used for Spearman correlation, no additional elements needed","display":"Spearman correlation"},{"code":"kendallCorrelation","definition":"Used for Kendall correlation, no additional elements needed","display":"Kendall correlation"},{"code":"friedmanTest","definition":"Used for Friedman test, no additional elements needed","display":"Friedman test"},{"code":"goodmanKruskasGamma","definition":"Used for Goodman Kruska’s Gamma, no additional elements needed","display":"Goodman Kruska’s Gamma"},{"code":"glm","definition":"Used for GLM (Generalized Linear Model), no additional elements needed","display":"GLM (Generalized Linear Model)"},{"code":"glmProbit","definition":"Used for GLM with probit link, no additional elements needed","display":"GLM with probit link"},{"code":"glmLogit","definition":"Used for GLM with logit link, no additional elements needed","display":"GLM with logit link"},{"code":"glmIdentity","definition":"Used for GLM with identity link, no additional elements needed","display":"GLM with identity link"},{"code":"glmLog","definition":"Used for GLM with log link, no additional elements needed","display":"GLM with log link"},{"code":"glmGeneralizedLogit","definition":"Used for GLM with generalized logit link, no additional elements needed","display":"GLM with generalized logit link"},{"code":"glmm","definition":"Used for Generalized linear mixed model (GLMM), no additional elements needed","display":"Generalized linear mixed model (GLMM)"},{"code":"glmmProbit","definition":"Used for GLMM with probit link, no additional elements needed","display":"GLMM with probit link"},{"code":"glmmLogit","definition":"Used for GLMM with logit link, no additional elements needed","display":"GLMM with logit link"},{"code":"glmmIdentity","definition":"Used for GLMM with identity link, no additional elements needed","display":"GLMM with identity link"},{"code":"glmmLog","definition":"Used for GLMM with log link, no additional elements needed","display":"GLMM with log link"},{"code":"glmmGeneralizedLogit","definition":"Used for GLMM with generalized logit link, no additional elements needed","display":"GLMM with generalized logit link"},{"code":"linearRegression","definition":"Used for linear regression method of analysis, no additional elements needed","display":"Linear Regression"},{"code":"logisticRegression","definition":"Used for logistic regression method of analysis, no additional elements needed","display":"Logistic Regression"},{"code":"polynomialRegression","definition":"Used for Polynomial regression method of analysis, no additional elements needed","display":"Polynomial Regression"},{"code":"coxProportionalHazards","definition":"Used for Cox proportional hazards method of analysis, no additional elements needed","display":"Cox Proportional Hazards"},{"code":"binomialDistributionRegression","definition":"Used for Binomial Distribution for Regression, no additional elements needed","display":"Binomial Distribution for Regression"},{"code":"multinomialDistributionRegression","definition":"Used for Multinomial Distribution for Regression, no additional elements needed","display":"Multinomial Distribution for Regression"},{"code":"poissonRegression","definition":"Used for Poisson Regression, no additional elements needed","display":"Poisson Regression"},{"code":"negativeBinomialRegression","definition":"Used for Negative Binomial Regression, no additional elements needed","display":"Negative Binomial Regression"},{"code":"zeroCellConstant","definition":"Zero-cell adjustment done by adding a constant to all cells of affected studies, paired with \"value\" to define the constant","display":"Zero-cell adjustment with constant"},{"code":"zeroCellContinuityCorrection","definition":"Zero-cell adjustment done by treatment arm continuity correction, no additional elements needed","display":"Zero-cell adjustment with continuity correction"},{"code":"adjusted","definition":"Used for adjusted analysis, paired with variable element(s)","display":"Adjusted analysis"},{"code":"interactionTerm","definition":"Used for interaction term, paired with \"value\" and two or more variable elements","display":"Interaction term"},{"code":"manteHaenszelMethod","definition":"Used for Mantel-Haenszel method, no additional elements needed","display":"Mantel-Haenszel method"},{"code":"metaAnalysis","definition":"Used for meta-analysis, no additional elements needed","display":"Meta-analysis"},{"code":"inverseVariance","definition":"Used for inverse variance method of meta-analysis, no additional elements needed","display":"Inverse variance method"},{"code":"petoMethod","definition":"Used for Peto method of meta-analysis, no additional elements needed","display":"Peto method"},{"code":"hartungKnapp","definition":"Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed","display":"Hartung-Knapp adjustment"},{"code":"modifiedHartungKnapp","definition":"Modified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed","display":"Modified Hartung-Knapp adjustment"},{"code":"effectsFixed","definition":"From a fixed-effects analysis, no additional elements needed","display":"Fixed-effects"},{"code":"effectsRandom","definition":"From a random-effects analysis, no additional elements needed","display":"Random-effects"},{"code":"chiSquareTestHomogeneity","definition":"Used for Chi-square test for homogeneity, may be paired with \"value\" to express degrees of freedom","display":"Chi-square test for homogeneity"},{"code":"dersimonianLairdMethod","definition":"Used for Dersimonian-Laird method of tau estimation, no additional elements needed","display":"Dersimonian-Laird method"},{"code":"pauleMandelMethod","definition":"Used for Paule-Mandel method of tau estimation, no additional elements needed","display":"Paule-Mandel method"},{"code":"restrictedLikelihood","definition":"Used for Restricted Maximum Likelihood method of tau estimation, no additional elements needed","display":"Restricted Maximum Likelihood method"},{"code":"maximumLikelihood","definition":"Used for Maximum Likelihood method of tau estimation, no additional elements needed","display":"Maximum Likelihood method"},{"code":"empiricalBayes","definition":"Used for Empirical Bayes method of tau estimation, no additional elements needed","display":"Empirical Bayes method"},{"code":"hunterSchmidt","definition":"Used for Hunter-Schmidt method of tau estimation, no additional elements needed","display":"Hunter-Schmidt method"},{"code":"sidikJonkman","definition":"Used for Sidik-Jonkman method of tau estimation, no additional elements needed","display":"Sidik-Jonkman method"},{"code":"hedgesMethod","definition":"Used for Hedges method of tau estimation, no additional elements needed","display":"Hedges method"},{"code":"tauDersimonianLaird","definition":"Dersimonian-Laird method for tau squared","display":"Dersimonian-Laird method"},{"code":"tauPauleMandel","definition":"Paule-Mandel method for tau squared","display":"Paule-Mandel method"},{"code":"tauRestrictedMaximumLikelihood","definition":"Restricted Maximum Likelihood method for tau squared","display":"Restricted Maximum Likelihood method"},{"code":"tauMaximumLikelihood","definition":"Maximum Likelihood method for tau squared","display":"Maximum Likelihood method"},{"code":"tauEmpiricalBayes","definition":"Empirical Bayes method for tau squared","display":"Empirical Bayes method"},{"code":"tauHunterSchmidt","definition":"Hunter-Schmidt method for tau squared","display":"Hunter-Schmidt method"},{"code":"tauSidikJonkman","definition":"Sidik-Jonkman method for tau squared","display":"Sidik-Jonkman method"},{"code":"tauHedges","definition":"Hedges method for tau squared","display":"Hedges method"},{"code":"poolMantelHaenzsel","definition":"Mantel-Haenszel method for pooling in meta-analysis","display":"Mantel-Haenszel method"},{"code":"poolInverseVariance","definition":"Inverse variance method for pooling in meta-analysis","display":"Inverse variance method"},{"code":"poolPeto","definition":"Peto method for pooling in meta-analysis","display":"Peto method"},{"code":"poolGeneralizedLinearMixedModel","definition":"Generalized linear mixed model (GLMM) method for pooling in meta-analysis","display":"Generalized linear mixed model (GLMM)"}],"contact":[{"telecom":[{"system":"url","value":"http://hl7.org/fhir"},{"system":"email","value":"fhir@lists.hl7.org"}]}],"content":"complete","date":"2021-08-05T12:00:00+11:00","description":"The role that the assertion variable plays.","experimental":false,"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}],"id":"statistic-model-code","identifier":[{"system":"urn:ietf:rfc:3986","value":"urn:oid:2.16.840.1.113883.4.642.3.1539"}],"meta":{"lastUpdated":"2022-05-28T13:47:40+11:00","profile":["http://hl7.org/fhir/StructureDefinition/shareablecodesystem"]},"name":"StatisticModelCode","publisher":"HL7 (FHIR Project)","resourceType":"CodeSystem","status":"draft","text":{"div":"
\n

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

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n\t \n
\n Code\n \n Display\n \n Definition\n
oneTailedTest\n \n \n \n one-tailed test (1 threshold)Used for one-tailed test (1 threshold), no additional elements needed
twoTailedTest\n \n \n \n two-tailed test (2 thresholds)Used for two-tailed test (2 threshold), no additional elements needed
zTest\n \n \n \n z-testUsed for z-test, no additional elements needed
oneSampleTTest\n \n \n \n 1-sample t-testUsed for 1-sample t-test, may be paired with "value" to express degrees of freedom
twoSampleTTest\n \n \n \n 2-sample t-testUsed for 2-sample t-test, may be paired with "value" to express degrees of freedom
pairedTTest\n \n \n \n paired t-testUsed for paired t-test, may be paired with "value" to express degrees of freedom
chiSquareTest\n \n \n \n Chi-square testUsed for Chi-square test, may be paired with "value" to express degrees of freedom
chiSquareTestTrend\n \n \n \n Chi-square test for trendUsed for Chi-square test for trend, may be paired with "value" to express degrees of freedom
pearsonCorrelation\n \n \n \n Pearson correlationUsed for Pearson correlation, no additional elements needed
anova\n \n \n \n ANOVA (ANalysis Of VAriance)Used for ANOVA method of analysis, may be paired with "value" to express degrees of freedom
anovaOneWay\n \n \n \n one-way ANOVAUsed for one-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
anovaTwoWay\n \n \n \n 2-way ANOVA without replicationUsed for 2-way ANOVA without replication method of analysis, may be paired with "value" to express degrees of freedom
anovaTwoWayReplication\n \n \n \n 2-way ANOVA with replicationUsed for 2-way ANOVA with replication method of analysis, may be paired with "value" to express degrees of freedom
manova\n \n \n \n multivariate ANOVA (MANOVA)Used for multivariate ANOVA (MANOVA) method of analysis, may be paired with "value" to express degrees of freedom
anovaThreeWay\n \n \n \n 3-way ANOVAUsed for 3-way ANOVA method of analysis, may be paired with "value" to express degrees of freedom
signTest\n \n \n \n sign testUsed for sign test, no additional elements needed
wilcoxonSignedRankTest\n \n \n \n Wilcoxon signed-rank testUsed for Wilcoxon signed-rank test, no additional elements needed
wilcoxonRankSumTest\n \n \n \n Wilcoxon rank-sum testUsed for Wilcoxon rank-sum test, no additional elements needed
mannWhitneyUTest\n \n \n \n Mann-Whitney U testUsed for Mann-Whitney U test, no additional elements needed
fishersExactTest\n \n \n \n Fisher’s exact testUsed for Fisher's exact test, may be paired with "value" to express degrees of freedom
mcnemarsTest\n \n \n \n McNemar’s testUsed for McNemar's test, no additional elements needed
kruskalWallisTest\n \n \n \n Kruskal Wallis testUsed for Kruskal Wallis test, may be paired with "value" to express degrees of freedom
spearmanCorrelation\n \n \n \n Spearman correlationUsed for Spearman correlation, no additional elements needed
kendallCorrelation\n \n \n \n Kendall correlationUsed for Kendall correlation, no additional elements needed
friedmanTest\n \n \n \n Friedman testUsed for Friedman test, no additional elements needed
goodmanKruskasGamma\n \n \n \n Goodman Kruska’s GammaUsed for Goodman Kruska’s Gamma, no additional elements needed
glm\n \n \n \n GLM (Generalized Linear Model)Used for GLM (Generalized Linear Model), no additional elements needed
glmProbit\n \n \n \n GLM with probit linkUsed for GLM with probit link, no additional elements needed
glmLogit\n \n \n \n GLM with logit linkUsed for GLM with logit link, no additional elements needed
glmIdentity\n \n \n \n GLM with identity linkUsed for GLM with identity link, no additional elements needed
glmLog\n \n \n \n GLM with log linkUsed for GLM with log link, no additional elements needed
glmGeneralizedLogit\n \n \n \n GLM with generalized logit linkUsed for GLM with generalized logit link, no additional elements needed
glmm\n \n \n \n Generalized linear mixed model (GLMM)Used for Generalized linear mixed model (GLMM), no additional elements needed
glmmProbit\n \n \n \n GLMM with probit linkUsed for GLMM with probit link, no additional elements needed
glmmLogit\n \n \n \n GLMM with logit linkUsed for GLMM with logit link, no additional elements needed
glmmIdentity\n \n \n \n GLMM with identity linkUsed for GLMM with identity link, no additional elements needed
glmmLog\n \n \n \n GLMM with log linkUsed for GLMM with log link, no additional elements needed
glmmGeneralizedLogit\n \n \n \n GLMM with generalized logit linkUsed for GLMM with generalized logit link, no additional elements needed
linearRegression\n \n \n \n Linear RegressionUsed for linear regression method of analysis, no additional elements needed
logisticRegression\n \n \n \n Logistic RegressionUsed for logistic regression method of analysis, no additional elements needed
polynomialRegression\n \n \n \n Polynomial RegressionUsed for Polynomial regression method of analysis, no additional elements needed
coxProportionalHazards\n \n \n \n Cox Proportional HazardsUsed for Cox proportional hazards method of analysis, no additional elements needed
binomialDistributionRegression\n \n \n \n Binomial Distribution for RegressionUsed for Binomial Distribution for Regression, no additional elements needed
multinomialDistributionRegression\n \n \n \n Multinomial Distribution for RegressionUsed for Multinomial Distribution for Regression, no additional elements needed
poissonRegression\n \n \n \n Poisson RegressionUsed for Poisson Regression, no additional elements needed
negativeBinomialRegression\n \n \n \n Negative Binomial RegressionUsed for Negative Binomial Regression, no additional elements needed
zeroCellConstant\n \n \n \n Zero-cell adjustment with constantZero-cell adjustment done by adding a constant to all cells of affected studies, paired with "value" to define the constant
zeroCellContinuityCorrection\n \n \n \n Zero-cell adjustment with continuity correctionZero-cell adjustment done by treatment arm continuity correction, no additional elements needed
adjusted\n \n \n \n Adjusted analysisUsed for adjusted analysis, paired with variable element(s)
interactionTerm\n \n \n \n Interaction termUsed for interaction term, paired with "value" and two or more variable elements
manteHaenszelMethod\n \n \n \n Mantel-Haenszel methodUsed for Mantel-Haenszel method, no additional elements needed
metaAnalysis\n \n \n \n Meta-analysisUsed for meta-analysis, no additional elements needed
inverseVariance\n \n \n \n Inverse variance methodUsed for inverse variance method of meta-analysis, no additional elements needed
petoMethod\n \n \n \n Peto methodUsed for Peto method of meta-analysis, no additional elements needed
hartungKnapp\n \n \n \n Hartung-Knapp adjustmentHartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
modifiedHartungKnapp\n \n \n \n Modified Hartung-Knapp adjustmentModified Hartung-Knapp/Hartung-Knapp-Sidik-Jonkman adjustment used in meta-analysis, no additional elements needed
effectsFixed\n \n \n \n Fixed-effectsFrom a fixed-effects analysis, no additional elements needed
effectsRandom\n \n \n \n Random-effectsFrom a random-effects analysis, no additional elements needed
chiSquareTestHomogeneity\n \n \n \n Chi-square test for homogeneityUsed for Chi-square test for homogeneity, may be paired with "value" to express degrees of freedom
dersimonianLairdMethod\n \n \n \n Dersimonian-Laird methodUsed for Dersimonian-Laird method of tau estimation, no additional elements needed
pauleMandelMethod\n \n \n \n Paule-Mandel methodUsed for Paule-Mandel method of tau estimation, no additional elements needed
restrictedLikelihood\n \n \n \n Restricted Maximum Likelihood methodUsed for Restricted Maximum Likelihood method of tau estimation, no additional elements needed
maximumLikelihood\n \n \n \n Maximum Likelihood methodUsed for Maximum Likelihood method of tau estimation, no additional elements needed
empiricalBayes\n \n \n \n Empirical Bayes methodUsed for Empirical Bayes method of tau estimation, no additional elements needed
hunterSchmidt\n \n \n \n Hunter-Schmidt methodUsed for Hunter-Schmidt method of tau estimation, no additional elements needed
sidikJonkman\n \n \n \n Sidik-Jonkman methodUsed for Sidik-Jonkman method of tau estimation, no additional elements needed
hedgesMethod\n \n \n \n Hedges methodUsed for Hedges method of tau estimation, no additional elements needed
tauDersimonianLaird\n \n \n \n Dersimonian-Laird methodDersimonian-Laird method for tau squared
tauPauleMandel\n \n \n \n Paule-Mandel methodPaule-Mandel method for tau squared
tauRestrictedMaximumLikelihood\n \n \n \n Restricted Maximum Likelihood methodRestricted Maximum Likelihood method for tau squared
tauMaximumLikelihood\n \n \n \n Maximum Likelihood methodMaximum Likelihood method for tau squared
tauEmpiricalBayes\n \n \n \n Empirical Bayes methodEmpirical Bayes method for tau squared
tauHunterSchmidt\n \n \n \n Hunter-Schmidt methodHunter-Schmidt method for tau squared
tauSidikJonkman\n \n \n \n Sidik-Jonkman methodSidik-Jonkman method for tau squared
tauHedges\n \n \n \n Hedges methodHedges method for tau squared
poolMantelHaenzsel\n \n \n \n Mantel-Haenszel methodMantel-Haenszel method for pooling in meta-analysis
poolInverseVariance\n \n \n \n Inverse variance methodInverse variance method for pooling in meta-analysis
poolPeto\n \n \n \n Peto methodPeto method for pooling in meta-analysis
poolGeneralizedLinearMixedModel\n \n \n \n Generalized linear mixed model (GLMM)Generalized linear mixed model (GLMM) method for pooling in meta-analysis
\n \n
","status":"generated"},"title":"StatisticModelCode","url":"http://terminology.hl7.org/CodeSystem/statistic-model-code","valueSet":"http://hl7.org/fhir/ValueSet/statistic-model-code","version":"4.3.0"}