Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model With Interval-Censored Data
Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model With Interval-Censored Data
For semiparametric survival models with interval censored data and a cure fraction, it is often difficult to derive nonparametric maximum likelihood estimation due to the challenge in maximizing the complex likelihood function. In this paper, we propose a computationally efficient EM algorithm, facilitated by a gamma-poisson data augmentation, for maximum …