Bootstrapping pseudolikelihood models for clustered binary data

DOI10.1023/A:1003902206203zbMath0938.62031OpenAlexW2031645436MaRDI QIDQ1962603

Gerda Claeskens, Marc Aerts

Publication date: 13 June 2000

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1003902206203

zbMATH Keywords

bootstrapexponential familypseudolikelihoodclustered binary datadevelopmental toxicity

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bootstrap, jackknife and other resampling methods (62F40) Asymptotic properties of parametric tests (62F05)

Related Items (4)

Bootstrap adjustments of signed scoring rule root statistics ⋮ Bootstrap tests for misspecified models, with application to clustered binary data. ⋮ On composite marginal likelihoods ⋮ Prepivoting composite score statistics by weighted bootstrap iteration

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