A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study

被引：0
作者：
Anurika Priyanjali De Silva
Margarita Moreno-Betancur
Alysha Madhu De Livera
Katherine Jane Lee
Julie Anne Simpson
机构：
[1] Centre for Epidemiology and Biostatistics,Department of Epidemiology and Preventive Medicine
[2] Melbourne School of Population and Global Health,Department of Paediatrics
[3] University of Melbourne,undefined
[4] Clinical Epidemiology and Biostatistics Unit,undefined
[5] Murdoch Childrens Research Institute,undefined
[6] Royal Children’s Hospital,undefined
[7] Monash University,undefined
[8] University of Melbourne,undefined
来源：
BMC Medical Research Methodology | / 17卷
关键词：
Fully conditional specification; Longitudinal data; Missing data; Multiple imputation; Multivariate normal imputation; Non-linear trajectory; Time-dependent covariate;
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