A marginalized conditional linear model for longitudinal binary data when informative dropout occurs in continuous time
نویسندگان
چکیده
منابع مشابه
A marginalized conditional linear model for longitudinal binary data when informative dropout occurs in continuous time
Within the pattern-mixture modeling framework for informative dropout, conditional linear models (CLMs) are a useful approach to deal with dropout that can occur at any point in continuous time (not just at observation times). However, in contrast with selection models, inferences about marginal covariate effects in CLMs are not readily available if nonidentity links are used in the mean struct...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2011
ISSN: 1468-4357,1465-4644
DOI: 10.1093/biostatistics/kxr041