Additional file 1 of A new cure model that corrects for increased risk of non-cancer death: analysis of reliability and robustness, and application to real-life data

Additional file 1: Supplemetary file Fig. 1. Probability density according to different θ parameters representing different distribution of the uncured function.Two figures representing Lung and Breast scenario. Supplemetary file Table 1. Performance indicators using grouped data of Model(1) in situations when there was very small or no cure at all and a persisting long-term cancer mortality (g=1). The Model(1) was used with a logistic age effect on cured (as proposed all along the manuscript), a linear age effect on cured and without cure. 1,000 estimates each composed by 10,000 cases and 15 years of follow-up. Supplementary file Table 2. Robustness analysis using Maximum likelihood on individual data. a) The times to cancer death of uncured patients do not follow a Weibull distribution; b) The extra non-cancer death risk is dependent of age at diagnosis; c) The extra non-cancer death risk randomly varies among the patients. Supplementary file Table 3. Performance indicators for a and p using individual data according to sample size and length of follow-up. 1,000 estimates each composed by different sample size and follow-up length in years.