Journal
BIOSTATISTICS
Volume 3, Issue 2, Pages 245-265Publisher
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/3.2.245
Keywords
delta method; linear mixed model; missing data; repeated measures; sensitivity analysis
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Whereas most models for incomplete longitudinal data are formulated within the selection model framework, pattern-mixture models have gained considerable interest in recent years (Little, 1993, 1994). In this paper, we outline several strategies to fit pattern-mixture models, including the so-called identifying restrictions strategy. Multiple imputation is used to apply this strategy to realistic settings, such as quality-of-life data from a longitudinal study on metastatic breast cancer patients.
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