Fig. 2From: The importance of censoring in competing risks analysis of the subdistribution hazardSimulations: no censoring difference. Empirical bias (top; with 95% confidence interval), standard deviation (middle) and relative mean-squared error (bottom) of the estimated subdistribution hazard ratio (SHR) from Fine–Gray models with four different censoring estimates: pooled (model 1), separated by age (model 2), separated by treatment (model 3) and separated by age and treatment (model 4). Simulated loss to follow-up times were drawn from an exponential distribution such that all subjects had a 10% risk of being censored in this way. The true exposure effect was zero in the left-hand column and a SHR of 2.7 in the right-hand columnBack to article page