Massive Parallelization of Massive Sample-Size Survival Analysis

Large-scale observational health databases are increasingly popular for conducting comparative effectiveness and safety studies of medical products. However, increasing number of patients poses computational challenges when fitting survival regression models in such studies. In this article, we use...

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Vydané v:	Journal of computational and graphical statistics Ročník 33; číslo 1; s. 289 - 302
Hlavní autori:	Yang, Jianxiao, Schuemie, Martijn J., Ji, Xiang, Suchard, Marc A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Taylor & Francis 2024 Taylor & Francis Ltd
Predmet:	Algorithms Cox proportional hazards model Fine-Gray model Graphics processing unit Graphics processing units Parallel processing Regression models Regularized regression Statistical models Survival Survival analysis Survival analysis Regularized regression Cox proportional hazards model Fine-Gray model Graphics processing unit
ISSN:	1061-8600, 1537-2715
On-line prístup:	Získať plný text
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