Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model
نویسندگان
چکیده
منابع مشابه
Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model.
Linear mixed models are often used for the analysis of data from clinical trials with repeated quantitative outcomes. This paper considers linear mixed models where a particular form is assumed for the treatment effect, in particular constant over time or proportional to time. For simplicity, we assume no baseline covariates and complete post-baseline measures, and we model arbitrary mean respo...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2012
ISSN: 0277-6715,1097-0258
DOI: 10.1002/sim.5707