Analysing Incomplete Longitudinal Binary Responses: A Likelihood-Based Approach

DOI10.2307/2532775zbMath0825.62776OpenAlexW1991597992WikidataQ52371799 ScholiaQ52371799MaRDI QIDQ4842853

Garrett M. Fitzmaurice, Nan M. Laird, Stuart R. Lipsitz

Publication date: 28 November 1995

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2532775

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (10)

Marginal Analysis of Incomplete Longitudinal Binary Data: A Cautionary Note on LOCF Imputation ⋮ Multistate recapture models: Modelling incomplete individual histories ⋮ Likelihood based frequentist inference when data are missing at random ⋮ Marginal and association regression models for longitudinal binary data with drop-outs: A likelihood-based approach ⋮ A simple and fast alternative to the EM algorithm for incomplete categorical data and latent class models. ⋮ Unnamed Item ⋮ Maximum Likelihood Analysis of Logistic Regression Models with Incomplete Covariate Data and Auxiliary Information ⋮ Mixture analysis of multivariate categorical data with covariates and missing entries ⋮ Modified Gaussian estimation for correlated binary data ⋮ Longitudinal analysis of repeated binary data using autoregressive and random effect modelling

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