Cox regression survival analysis with compositional covariates: Application to modelling mortality risk from 24-h physical activity patterns

Volume: 29, Issue: 5, Pages: 1447 - 1465
Published: Jul 25, 2019
Abstract
Survival analysis is commonly conducted in medical and public health research to assess the association of an exposure or intervention with a hard end outcome such as mortality. The Cox (proportional hazards) regression model is probably the most popular statistical tool used in this context. However, when the exposure includes compositional covariables (that is, variables representing a relative makeup such as a nutritional or physical activity...
Paper Details
Title
Cox regression survival analysis with compositional covariates: Application to modelling mortality risk from 24-h physical activity patterns
Published Date
Jul 25, 2019
Volume
29
Issue
5
Pages
1447 - 1465
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