Fig. 2

Box plots of estimated median mean squared error (MSE) for the regression coefficient \(\beta\) over 1000 simulations for each setting. Y-axis denotes each setting with an ID consisting of the abbreviated true model (WBAH = Weibull additive hazard, LLAH = Log-Logistic additive hazard), the true \(\beta\), the number of participants per study and number of events (e.g., Weibull additive hazard model, true \(\beta = 0\), number of patients \(= 50\), number of events = \(60\%\) results in “WBAH_0_50_0.6”). Left-most plot shows results for the Weibull (WB) additive hazard model, middle plot shows results for the Log-Logistic (LL) additive hazard model and right plot shows results for the Lin-Ying (LY) model