Introduction to the Special Section on Missing Data
Julie Josse, Jerome P. Reiter
págs. 139-141
págs. 142-159
Multiple Imputation for Multilevel Data with Continuous and Binary Variables
Vincent Audigier, Ian R. White, Shahab Jolani, Thomas P. A. Debray, Matteo Quartagno, James Carpenter, Stef Van Buuren, Matthieu Resche-Rigon
págs. 160-183
págs. 184-197
Bayesian Approaches for Missing Not at Random Outcome Data: The Role of Identifying Restrictions
Antonio R. Linero, Michael J. Daniels
págs. 198-213
págs. 214-237
Flexible Low-Rank Statistical Modeling with Missing Data and Side Information
William Fithian, Rahul Mazumder
págs. 238-260
Missing Information Principle: A Unified Approach for General Truncated and Censored Survival Data Problems
Yifei Sun, Chiung-yu Huang, Jing Qin
págs. 261-276
págs. 277-284
págs. 285-297
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