Recent progress in survival analysis has been driven by the integration of machine learning techniques with traditional statistical models, such as the Cox proportional hazards model. This synthesis ...
Survival analysis is a branch of statistics that examines the expected duration until one or more events occur, such as death or failure. Traditionally applied in medical research and reliability ...
Our study is motivated by evaluating the role of hematopoietic cell transplantation (HCT) after chimeric antigen receptor T-cell (CAR-T) therapy for ALL, a debated topic. Because patients may receive ...
Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...
A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...
Predicting Functional Recovery and Quality of Life in Older Patients Undergoing Colorectal Cancer Surgery: Real-World Data From the International GOSAFE Study Clinical trials frequently include ...
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