We assessed to what degree and under what conditions Cox proportional hazards models have more statistical power than logistic regression models in cross-sectional genetic association analyses.

The PHREG procedure in SAS/STAT software performs regression analysis of survival or duration data based on the Cox proportional hazards model. Cox's semiparametric model is widely used in the ...

You use PROC PHREG to fit the Cox regression model. The regression coefficient is interpreted as the increase of the log hazard ratio resulting in the increase of one unit in the covariate. However, ...

We used a Cox proportional-hazards regression model to examine simultaneously the effects of multiple covariates on survival. 20 In all models, the categorical variables were tested for trend and ...

Cox proportional-hazards regression models were used to estimate the association between hydroxychloroquine use and the composite end point of intubation or death. An initial multivariable Cox ...

We used a generalised linear mixed model to investigate the associations between habitual PA and yearly change in estimated glomerular filtration rate (eGFR). The Cox proportional hazard regression ...

Using a Cox proportional hazard regression model, researchers determined that the risk of AKD was highest in the second week post-infection, with a hazard ratio of 12.77. By the fourth week ...