Multiple imputation of a randomly censored covariate improves logistic regression analysis

DOI10.1080/02664763.2016.1155110OpenAlexW2331651934WikidataQ37305738 ScholiaQ37305738MaRDI QIDQ5138224

Keith Johnson, Folefac D. Atem, Jing Qian, Jacqueline E. Maye, Rebecca A. Betensky

Publication date: 3 December 2020

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

Full work available at URL: http://europepmc.org/articles/pmc5047523

zbMATH Keywords

Alzheimer's diseaselimit of detectionage of onsetcomplete case analysisreverse survival regression

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Inference in generalized linear regression models with a censored covariate
• Multiple imputation: current perspectives

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