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Fig. 2 | BMC Medical Research Methodology

Fig. 2

From: The importance of censoring in competing risks analysis of the subdistribution hazard

Fig. 2

Simulations: 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 column

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