Quasi-linear Cox proportional hazards model with cross- L1 penalty.

Published in: BMC medical research methodology (2020)

It is essential to capture the intrinsic heterogeneity of patients for getting more stable and effective risk score. The proposed hazard model can capture such heterogeneity and achieve better performance than the ordinary linear Cox proportional hazards model.

Keyphrases

end stage renal disease
ejection fraction
newly diagnosed
single cell
chronic kidney disease
prognostic factors
neural network