Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees
نویسندگان
چکیده
منابع مشابه
Detecting Treatment-Subgroup Interactions in Clustered Datasets: Combining Model-Based Recursive Partitioning and Random-Effects Estimation
Identification of subgroups of patients for which treatment A is more effective than treatment B, and vice versa, is of key importance to the development of personalized medicine. Several tree-based algorithms have been developed for the detection of such treatment-subgroup interactions. In many instances, however, datasets may have a clustered structure, where observations are clustered within...
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ژورنال
عنوان ژورنال: Behavior Research Methods
سال: 2017
ISSN: 1554-3528
DOI: 10.3758/s13428-017-0971-x