2001
HEpiMA: software for the identification of heterogeneity in meta-analysis
Costa-Bouzas J, Takkouche B, Cadarso-Suárez C, Spiegelman D. HEpiMA: software for the identification of heterogeneity in meta-analysis. Computer Methods And Programs In Biomedicine 2001, 64: 101-107. PMID: 11137192, DOI: 10.1016/s0169-2607(00)00087-0.Peer-Reviewed Original Research
1999
Re: Meta-analysis: Dietary Fat Intake, Serum Estrogen Levels, and the Risk of Breast Cancer
Holmes M, Schisterman E, Spiegelman D, Hunter D, Willett W. Re: Meta-analysis: Dietary Fat Intake, Serum Estrogen Levels, and the Risk of Breast Cancer. Journal Of The National Cancer Institute 1999, 91: 1511-1512. PMID: 10469759, DOI: 10.1093/jnci/91.17.1511.Peer-Reviewed Original ResearchEvaluation of Old and New Tests of Heterogeneity in Epidemiologic Meta-Analysis
Takkouche B, Cadarso-Suárez C, Spiegelman D. Evaluation of Old and New Tests of Heterogeneity in Epidemiologic Meta-Analysis. American Journal Of Epidemiology 1999, 150: 206-215. PMID: 10412966, DOI: 10.1093/oxfordjournals.aje.a009981.Peer-Reviewed Original ResearchConceptsParametric bootstrap versionBootstrap versionLarge simulation studyCorrect type IStatistical powerComputational easeSimulation studyIdentification of heterogeneityHypothesis testQ statisticStudy varianceLow statistical powerNull hypothesisStatisticsPoint of viewBootstrapHomogeneity testVersionPowerDecision criteriaNew testBest choiceKey featuresEffect measuresVariance