Global Tests for Multiple Binary Outcomes

DOI10.2307/2532240zbMath0819.62050OpenAlexW2031688249WikidataQ52221491 ScholiaQ52221491MaRDI QIDQ4833911

Myrto Lefkopoulou, Louise M. Ryan

Publication date: 27 August 1995

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2532240

zbMATH Keywords

clustered datamultivariate modelasymptotic relative efficienciesgeneral estimating equationsglobal teststeratologydevelopmental toxicity studiescollapsed datamultiple binary outcomesquasi-likelihood score tests

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15)

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A mixed model framework for teratology studies ⋮ Adaptive Design and Estimation in Randomized Clinical Trials with Correlated Observations ⋮ Adjusting O'Brien's Test to Control Type I Error for the Generalized Nonparametric Behrens–Fisher Problem ⋮ Assessing disease progression using a composite endpoint ⋮ Closed Testing Procedures for Group Sequential Clinical Trials with Multiple Endpoints ⋮ An Exact Trend Test for Correlated Binary Data ⋮ Simultaneous confidence intervals for comparing margins of multivariate binary data ⋮ A Shared Response Model for Clustered Binary Data in Developmental Toxicity Studies ⋮ P-value adjustment for multiple binary endpoints ⋮ Testing and estimation of proportion (or risk) ratio under the matched-pair design with multiple binary endpoints

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