High dimensional variable selection with clustered data: an application of random multivariate survival forests for detection of outlier medical device components
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
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
Prediction the survival of patients with breast cancer using random survival forests for competing risks
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Preventive Medicine and Hygiene"
DOI: 10.15167/2421-4248/jpmh2022.63.2.2405
Abstract: Summary Objectives Breast cancer (BC) is the most common cause of cancer death in Iranian women. Sometimes death from other causes precludes the event of interest and makes the analysis complicated. The purpose of this… read more here.
Keywords: using random; breast cancer; model; random survival ... See more keywords