Identification of subgroups with differential treatment effects for longitudinal and multiresponse variables
نویسندگان
چکیده
منابع مشابه
Identification of subgroups with differential treatment effects for longitudinal and multiresponse variables.
We describe and evaluate a regression tree algorithm for finding subgroups with differential treatments effects in randomized trials with multivariate outcomes. The data may contain missing values in the outcomes and covariates, and the treatment variable is not limited to two levels. Simulation results show that the regression tree models have unbiased variable selection and the estimates of s...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2016
ISSN: 0277-6715,1097-0258
DOI: 10.1002/sim.7020