Optimal Partitioning for Linear Mixed Effects Models: Applications to Identifying Placebo Responders
线性混合效应模型的最优划分:识别安慰剂响应者
A long-standing problem in clinical research is distinguishing drug treated subjects that respond due to specific effects of the drug from those that respond to non-specific (or placebo) effects of the treatment. Linear mixed effect models are commonly used to model longitudinal clinical trial data. In this paper we present a solution to the problem of identifying placebo responders using an optimal partitioning methodology for linear mixed effects models. Since individual…