High dimensional variable selection with clustered data: an application of random multivariate survival forests for detection of outlier medical device components
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DOI: 10.1080/00949655.2019.1584198
Abstract: ABSTRACT In many medical studies patients are nested or clustered within doctor. With many explanatory variables, variable selection with clustered data can be challenging. We propose a method for variable selection based on random forest… read more here.
Keywords: selection clustered; device components; clustered data; variable selection ... See more keywords