University of Limerick
Browse
MacKenzie_2003_PH.pdf (127.11 kB)

A non-PH accelerated hazard model for analyzing clinical trial data

Download (127.11 kB)
conference contribution
posted on 2013-01-04, 15:28 authored by Yasin Al-tawarah, Gilbert MackenzieGilbert Mackenzie
In longitudinal studies with a set of continuous or ordinal repeated response variables it may be convenient to summarize the outcome as a threshold event. Then, the time to this event becomes of interest. In this paper we obtain the general likelihood for the unknown parameters when the underlying survival model is parametric and the survival times are interval-censored. We investigate the use of a member of the Generalized Time Dependent Logistic family of survival distributions (MacKenzie, 1996) which is a non- PH Accelerated Hazard Model and has a logistic baseline hazard function. We use simulation to investigate how inference on the treatment parameter is compromised by using the mis-specified likelihood, which treats the interval-censored survival times as if they were exact.

History

Publication

Proceedings of the 18th International Workshop on Statistical Modelling;

Publisher

IWSM

Note

peer-reviewed

Language

English

Usage metrics

    University of Limerick

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC