by Usha Govindarajulu | Aug 15, 2024 | Blog
August 15, 2024 In clinical trials that use time to event endpoints, a traditional measure has been using the hazard ratio derived from a Cox proportional hazard regression, but one must satisfy this assumption. Over time, measures that have relaxed this assumption...
by Usha Govindarajulu | Jun 5, 2024 | Biostatistics, Blog, Usha Govindarajulu
June 5, 2024 The authors have come up with a proportional risk model to assess treatment effect in time-to-event data. One thing they first discussed which is important to note is that relative risk (RR) and hazard ratio (HR) are definitely not the same...
by Usha Govindarajulu | Aug 2, 2023 | Biostatistics, Blog, Usha Govindarajulu
August 2, 2023 In this article published in June online, Lancker et al describe a way for valid inference of hazard ratios from a Cox regression after variable selection. The problem has been that it is unknown which amount of covariates to use to control for...
