A robust pairwise likelihood method for incomplete longitudinal binary data arising in clusters

DOI10.1002/cjs.10089zbMath1349.62088OpenAlexW2048141242MaRDI QIDQ3019140

Grace Y. Yi, Leilei Zeng, Richard J. Cook

Publication date: 27 July 2011

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.10089

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Measures of association (correlation, canonical correlation, etc.) (62H20) Point estimation (62F10) Generalized linear models (logistic models) (62J12) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (6)

A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates ⋮ Analysis of bivariate zero inflated count data with missing responses ⋮ On the robustness of maximum composite likelihood estimate ⋮ Pseudo-Likelihood Methodology for Hierarchical Count Data ⋮ Doubly robust pseudo-likelihood for incomplete hierarchical binary data ⋮ Likelihood inference in complex settings

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