Mixed-effect models for longitudinal responses with different types of dropout: an application to the Leiden 85-plus study

DOI10.1080/02664763.2015.1014887OpenAlexW2019519192MaRDI QIDQ5130303

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Publication date: 4 November 2020

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

Full work available at URL: https://figshare.com/articles/journal_contribution/Mixed_effect_models_for_longitudinal_responses_with_different_types_of_dropout_an_application_to_the_Leiden_85_plus_study/1316569

zbMATH Keywords

longitudinal studiesdropoutvariance component modelsbaseline responsepatternmixture model

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• lme4

Cites Work

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• Longitudinal data with follow-up truncated by death: match the analysis method to research aims
• Estimation and Comparison of Changes in the Presence of Informative Right Censoring by Modeling the Censoring Process
• A marginalized pattern-mixture model for longitudinal binary data when nonresponse depends on unobserved responses
• Inference and missing data
• Generalized shared-parameter models and missingness at random
• Rejoinder
• Directly parameterized regression conditioning on being alive: analysis of longitudinal data truncated by deaths
• A Comparison of Procedures to Correct for Base-Line Differences in the Analysis of Continuous Longitudinal Data: A Case-Study

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