Analysis of non-ignorable missing and left-censored longitudinal data using a weighted random effects tobit model
Author:
Affiliation:
1. Department of Epidemiology and Biostatistics; Case Western Reserve University; Cleveland; OH; USA
2. Department of Biostatistics; University of Pittsburgh; Pittsburgh; PA; USA
3. I-BioStat; Universiteit Hasselt; B-3590; Diepenbeek; Belgium
Publisher
Wiley
Subject
Statistics and Probability,Epidemiology
Reference28 articles.
1. Comparative review of methods for handling drop-out in longitudinal studies;Philipson;Statics in Medicine,2008
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