title: An Expectation Maximization algorithm for fitting the generalized odds-rate model to interval censored data.
abstract: The generalized odds-rate model is a class of semiparametric regression models, which includes the proportional hazards and proportional odds models as special cases. There are few works on estimation of the generalized odds-rate model with interval censored data because of the challenges in maximizing the complex likelihood function. In this paper, we propose a gamma-Poisson data augmentation approach to develop an Expectation Maximization algorithm, which can be used to fit the generalized odds-rate model to interval censored data. The proposed Expectation Maximization algorithm is easy to implement and is computationally efficient. The performance of the proposed method is evaluated by comprehensive simulation studies and illustrated through applications to datasets from breast cancer and hemophilia studies. In order to make the proposed method easy to use in practice, an R package 'ICGOR' was developed. Copyright © 2016 John Wiley & Sons, Ltd.
authors.affiliation: Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, U.S.A.
authors.forename: Jie
authors.initials: J
authors.lastname: Zhou
authors.affiliation: Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, U.S.A.
authors.forename: Jiajia
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Department of Statistics, North Carolina State University, Raleigh, NC, U.S.A.
authors.forename: Wenbin
authors.initials: W
authors.lastname: Lu
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000401:mortality / Q000628:therapy; D003627:Data Interpretation, Statistical; D005260:Female; D015658:HIV Infections / Q000150:complications; D006467:Hemophilia A / Q000150:complications; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D016017:Odds Ratio; D016012:Poisson Distribution; D016016:Proportional Hazards Models
keywords: EM algorithm; data augmentation; generalized odds-rate models; interval censoring