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- W3012748371 abstract "We study explained variation under the additive hazards regression model for right-censored data. We consider different approaches for developing such a measure, and focus on one that estimates the proportion of variation in the failure time explained by the covariates. We study the properties of the measure both analytically, and through extensive simulations. We apply the measure to a well-known survival data set as well as the linked Surveillance, Epidemiology and End Results (SEER)-Medicare database for prediction of mortality in early-stage prostate cancer patients using high dimensional claims codes." @default.
- W3012748371 created "2020-03-27" @default.
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- W3012748371 date "2020-03-20" @default.
- W3012748371 modified "2023-09-23" @default.
- W3012748371 title "Explained Variation under the Additive Hazards Model" @default.
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- W3012748371 doi "https://doi.org/10.48550/arxiv.2003.09460" @default.
- W3012748371 hasPublicationYear "2020" @default.
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