Misspecifying the likelihood for clustered binary data.

DOI10.1016/S0167-9473(97)00037-6zbMath1042.62620WikidataQ127829429 ScholiaQ127829429MaRDI QIDQ1128458

Lieven Declerck, Marc Aerts, Geert Molenberghs

Publication date: 13 August 1998

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Clustered dataDose-response modelsLikelihood estimationLitter effectReproductive toxicology

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items (8)

Behaviour of the likelihood ratio test statistic under a bahadur model for exchangeable binary data ⋮ Estimating negative variance components from Gaussian and non-Gaussian data: a mixed models approach ⋮ Bootstrap tests for misspecified models, with application to clustered binary data. ⋮ High Dimensional Multivariate Mixed Models for Binary Questionnaire Data ⋮ An Exact Trend Test for Correlated Binary Data ⋮ A Litter-Based Approach to Risk Assessment in Developmental Toxicity Studies via a Power Family of Completely Monotone Functions ⋮ A hierarchical modeling approach for risk assessment in developmental toxicity studies ⋮ Use of fractional polynomials for dose-response modelling and quantitative risk assessment in developmental toxicity studies

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