Figures & data
Fig. 1 Estimation biases for coefficients β1, β2, and β3 (Panel A), as well as cumulative baseline hazards at times 0.6 and 1.2 (Panel B) over 100 Monte Carlo simulations. and
. The dotted gray line shows the place where bias equals zero.
![Fig. 1 Estimation biases for coefficients β1, β2, and β3 (Panel A), as well as cumulative baseline hazards at times 0.6 and 1.2 (Panel B) over 100 Monte Carlo simulations. H1=Ĥ0(0.6) and H2=Ĥ0(1.2). The dotted gray line shows the place where bias equals zero.](/cms/asset/8211569e-8566-48d1-ab4f-63feb6ae94db/uasa_a_2210336_f0001_c.jpg)
Fig. 2 Boxplots for absolute personalized prediction error of Trans-Cox and other existing methods in different simulation settings at time 0.6 (APPE1) and 1.2 (APPE2). The results are summarized over 100 Monte Carlo datasets.
![Fig. 2 Boxplots for absolute personalized prediction error of Trans-Cox and other existing methods in different simulation settings at time 0.6 (APPE1) and 1.2 (APPE2). The results are summarized over 100 Monte Carlo datasets.](/cms/asset/5820f029-362c-431d-a18e-a9e38775887b/uasa_a_2210336_f0002_c.jpg)
Fig. 3 The estimated cumulative baseline hazard (Panel A) and the survival curves (Panel B) for Trans-Cox (green) and Cox-Both (blue) in comparison to the true curves (red) over 100 Monte Carlo experiments. For survival curves, the covariates are fixed at .
![Fig. 3 The estimated cumulative baseline hazard (Panel A) and the survival curves (Panel B) for Trans-Cox (green) and Cox-Both (blue) in comparison to the true curves (red) over 100 Monte Carlo experiments. For survival curves, the covariates are fixed at X=(0.5,1,0.1,0.5,0.5).](/cms/asset/d02b3f43-d2b5-4fa9-8baf-b4b28464be7a/uasa_a_2210336_f0003_c.jpg)
Table 1 Analysis results of the MDA and NCDB cohorts.