Supplementary figure 1. Four distinctive hazard shapes described

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Supplementary figure 1. Four distinctive hazard shapes described by Generalized-Gamma model:
monotonically increasing (β=0, σ=0.5, and λ=0.75), decreasing (β=0, σ=2, and λ=1.333), bathtub (β=0,
σ=1, and λ=4), and arc-shaped (β= -1, σ=0.85, and λ=0.36) hazard.
Supplementary figure 2. Hazard versus time profile of modified gompertz hazard model.
Supplementary figure 3. Box and whisker plots of the estimation errors for hazard estimates of selected
nonparametric and parametric estimation method in modified gompertz survival datasets (n=150).
Boxes denote the 25th and 75th percentiles and whiskers represent the 5th and 95th percentiles. BH1,
binned hazard estimator 1; KLBC, kernel method of local bandwidth with boundary correction; KGBC,
kernel method of global bandwidth with boundary correction; MLE, parametric estimation method using
maximum likelihood.
Supplementary figure 4. Box and whisker plots of the estimation errors for hazard estimates of selected
nonparametric estimation method in modified gompertz survival datasets (n=600). Boxes denote the
25th and 75th percentiles and whiskers represent the 5th and 95th percentiles. BH1, binned hazard
estimator 1; KLBC, kernel method of local bandwidth with boundary correction; KGBC, kernel method of
global bandwidth with boundary correction.
Supplementary figure 5. Box and whisker plots of the estimation errors for hazard estimates of a running
line smoother weighted by either normal (RL + Normal) or log-normal function (RL + Log-normal) in
modified gompertz survival datasets (n=150). Boxes denote the 25th and 75th percentiles and whiskers
represent the 5th and 95th percentiles.
Supplementary figure 6. Comparison of original Weibull (black line) and fitted Gompertz hazard (red
line) versus time profiles.
Supplementary figure 7. Visual Predictive Check (VPC) of Gompertz model fitted to the Weibull survival
datasets using Kaplan-Meier (KM) estimates and hazard estimates from selected nonparametric
estimation methods. BH1, binned hazard estimator 1; KLBC, kernel method of local bandwidth with
boundary correction; KGBC, kernel method of global bandwidth with boundary correction.
Supplementary figure 8. Visual Predictive Check (VPC) of Weibull model fitted to the Weibull survival
datasets using Kaplan-Meier (KM) estimates and hazard estimates from selected nonparametric
estimation methods. BH1, binned hazard estimator 1; KLBC, kernel method of local bandwidth with
boundary correction; KGBC, kernel method of global bandwidth with boundary correction.
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