Time-Dependent Covariate Model (TDCM)
A basic visualization of event times produced by the TDCM generator:
import numpy as np
import matplotlib.pyplot as plt
from gen_surv import generate
np.random.seed(0)
df = generate(
model="tdcm",
n=200,
dist="weibull",
corr=0.5,
dist_par=[1, 2, 1, 2],
model_cens="uniform",
cens_par=1.0,
beta=[0.1, 0.2, 0.3],
lam=1.0,
)
plt.hist(df["stop"], bins=20, color="#4C72B0")
plt.xlabel("Time")
plt.ylabel("Frequency")
plt.title("TDCM Event Times")