relhaz: Example of a simulation study on survival modelling

Description Usage Format References Examples


A dataset from a simulation study assessing the impact of misspecifying the baseline hazard in survival models on regression coefficients. One thousand datasets were simulated, each containing a binary treatment variable with a log-hazard ratio of -0.50. Survival data was simulated for two different sample sizes, 50 and 250 individuals, and under two different baseline hazard functions, exponential and Weibull. Consequently, a Cox model (Cox, 1972), a fully parametric exponential model, and a Royston-Parmar (Royston and Parmar, 2002) model with two degrees of freedom were fit to each simulated dataset. See vignette("relhaz", package = "rsimsum") for more information.




A data frame with 1,200 rows and 6 variables:


Cox D.R. 1972. Regression models and life-tables. Journal of the Royal Statistical Society, Series B (Methodological) 34(2):187-220. doi: 10.1007/978-1-4612-4380-9_37

Royston, P. and Parmar, M.K. 2002. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Statistics in Medicine 21(15):2175-2197 doi: 10.1002/sim.1203


data("relhaz", package = "rsimsum")

Example output

rsimsum documentation built on May 21, 2021, 5:06 p.m.