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Articles by Marvin N. Wright
Missing Value Imputation With Adversarial Random Forests-MissARF
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[2512.17689] Imputation Uncertainty in Interpretable Machine Learning Methods
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High‐Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression
Conflicts of Interest The authors have declared no conflict of interest. Supporting Information Filename Description bimj70036-sup-0001-DataCode.zip20.2 MB Supporting Information References , and . 2016. “Penalized Estimation for Competing Risks Regression with Applications to High-Dimensional Covariates.” Biostatistics 17, no. 4: 708–721. https://doi.org/10.1093/biostatistics/kxw017. , and . 2018. “ Pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools.” Preprint arxiv: 1806.01042.
Random Survival Forests With Competing Events: A Subdistribution‐Based Imputation Approach
1 Introduction Survival analysis aims to model the time until the occurrence of a specific event (e.g., progression or death due to a certain disease) in dependence on a set of covariates. In clinical contexts, time-to-event data are often collected in observational studies that are prone to right censoring. Right censoring happens, for example, when patients drop out of a study or do not experience their event before the end of the observation period.
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