Related Experiment Videos
Selection models and pattern-mixture models for incomplete data with covariates
B Michiels1, G Molenberghs, S R Lipsitz
1Biostatistics, Limburgs Universitair Centrum, Diepenbeek, Belgium.
Biometrics
|April 21, 2001
Abstract:
Most models for incomplete data are formulated within the selection model framework. This paper studies similarities and differences of modeling incomplete data within both selection and pattern-mixture settings. The focus is on missing at random mechanisms and on categorical data. Point and interval estimation is discussed. A comparison of both approaches is done on side effects in a psychiatric study.