When interested in studying the effect of a treatment (or other exposure) on a time-to-event outcome, the most popular approach is to estimate survival probabilities using the Kaplan–Meier estimator.
A UCLA-led team has developed a machine-learning model that can predict with a high degree of accuracy the short-term survival of dialysis patients on continuous renal replacement therapy (CRRT). The ...
A UCLA-led team has developed a machine-learning model that can predict with a high degree of accuracy the short-term survival of dialysis patients on Continuous Renal Replacement Therapy (CRRT). CRRT ...
Residual disease (RD) following cytoreductive surgery is prognostic for epithelial ovarian cancer (EOC) patients. Few studies have evaluated RD and survival by tumor histotype and across continuous RD ...
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