Fast Lasso‐type safe screening for Fine‐Gray competing risks model with ultrahigh dimensional covariates
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DOI: 10.1002/sim.9545
Abstract: The Fine‐Gray proportional sub‐distribution hazards (PSH) model is among the most popular regression model for competing risks time‐to‐event data. This article develops a fast safe feature elimination method, named PSH‐SAFE, for fitting the penalized Fine‐Gray… read more here.
Keywords: psh safe; fine gray; model; competing risks ... See more keywords
Different competing risks models for different questions may give similar results in arthroplasty registers in the presence of few events
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DOI: 10.1080/17453674.2018.1427314
Abstract: Background and purpose — In arthroplasty registry studies, the analysis of time to revision is complicated by the competing risk of death. There are no clear guidelines for the choice between the 2 main adjusted… read more here.
Keywords: regression; cox fine; specific cox; cause specific ... See more keywords