Given logistic regression is substantially more computationally efficient than Cox regression in both settings, we propose a two-step approach to GWAS in cohort and case-cohort studies.

Missing covariate data are common in epidemiologic studies and disease prevention trials. In this article regression parameter estimation in the Cox proportional hazards model is considered when ...

Learn to apply multiple regression techniques to predict continuous outcomes, use logistic regression for binary outcomes, and employ Cox regression for survival analysis.

Yijian Huang, Ching-Yun Wang, Cox Regression with Dependent Error in Covariates, Biometrics, Vol. 74, No. 1 (MARCH 2018), pp. 118-126 ...