Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application.

ABSTRACT: Discrete survival data are routinely encountered in many fields of study including behavior science, economics, epidemiology, medicine, and social science. In this paper, we develop a class of proportional exponentiated link transformed hazards (ELTH) models. We carry out a detailed examination of the role of links in fitting discrete survival data and estimating regression coefficients. Several interesting results are established regarding the choice of links and baseline hazards. We also characterize the conditions for improper survival functions and the conditions for existence of the maximum likelihood estimates under the proposed ELTH models. An extensive simulation study is conducted to examine the empirical performance of the parameter estimates under the Cox proportional hazards mo

SUBMITTER: Joeng HK 

PROVIDER: S-EPMC4676960 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature