Research

Hypertabastic survival model

Mohammad A Tabatabai¹ , Zoran Bursac² , David K Williams² and Karan P Singh³

¹  Department of Mathematical Sciences, Cameron University, Lawton, OK, USA

²  Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA

³  Department of Biostatistics, University of North Texas Health Science Center, Ft.Worth, TX, USA

author email corresponding author email

Theoretical Biology and Medical Modelling 2007, 4:40doi:10.1186/1742-4682-4-40

Published:	26 October 2007

Abstract

A new two-parameter probability distribution called hypertabastic is introduced to model the survival or time-to-event data. A simulation study was carried out to evaluate the performance of the hypertabastic distribution in comparison with popular distributions. We then demonstrate the application of the hypertabastic survival model by applying it to data from two motivating studies. The first one demonstrates the proportional hazards version of the model by applying it to a data set from multiple myeloma study. The second one demonstrates an accelerated failure time version of the model by applying it to data from a randomized study of glioma patients who underwent radiotherapy treatment with and without radiosensitizer misonidazole. Based on the results from the simulation study and two applications, the proposed model shows to be a flexible and promising alternative to practitioners in this field.