Title | Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application. |
Publication Type | Journal Article |
Year of Publication | 2016 |
Authors | Joeng, Hee-Koung, Ming-Hui Chen, and Sangwook Kang |
Journal | Lifetime Data Anal |
Volume | 22 |
Issue | 1 |
Pagination | 38-62 |
Date Published | 2016 Jan |
ISSN | 1572-9249 |
Keywords | Breast Neoplasms, Computer Simulation, Female, Humans, Likelihood Functions, Models, Statistical, Proportional Hazards Models, Survival Analysis |
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 model by treating discrete survival times as continuous survival times, and the model comparison criteria, AIC and BIC, in determining links and baseline hazards. A SEER breast cancer dataset is analyzed in details to further demonstrate the proposed methodology. |
DOI | 10.1007/s10985-015-9326-z |
Alternate Journal | Lifetime Data Anal |
Original Publication | Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application. |
PubMed ID | 25772374 |
PubMed Central ID | PMC4676960 |
Grant List | CA 74015 / CA / NCI NIH HHS / United States R01 GM070335 / GM / NIGMS NIH HHS / United States GM 70335 / GM / NIGMS NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States R01 CA074015 / CA / NCI NIH HHS / United States |
Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application.
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