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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
decision sciences
Estimating regression parameters in an extended proportional odds model
Journal of the American Statistical Association, Volume 107, No. 497, Year 2012
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Description
The proportional odds model may serve as a useful alternative to the Cox proportional hazards model to study association between covariates and their survival functions in medical studies. In this article, we study an extended proportional odds model that incorporates the so-called "external" time-varying covariates. In the extended model, regression parameters have a direct interpretation of comparing survival functions, without specifying the baseline survival odds function. Semiparametric and maximum likelihood estimation procedures are proposed to estimate the extended model. Our methods are demonstrated by Monte Carlo simulations, and applied to a landmark randomized clinical trial of a short-course nevirapine (NVP) for mother-to-child transmission (MTCT) of human immunodeficiency virus type-1 (HIV-1). Additional application includes an analysis of the well-known Veterans Administration (VA) lung cancer trial. © 2012 American Statistical Association.
Authors & Co-Authors
Chen, Yingqing
United States, Seattle
Fred Hutchinson Cancer Research Center
Hu, Nan
United States, Salt Lake City
The University of Utah
Cheng, Su Chun
United States, Boston
Dana-farber Cancer Institute
Musoke, Philippa Martha
Uganda, Kampala
Makerere University
Zhao, Lueping
United States, Seattle
Fred Hutchinson Cancer Research Center
Statistics
Citations: 8
Authors: 5
Affiliations: 4
Identifiers
Doi:
10.1080/01621459.2012.656021
ISSN:
01621459
Research Areas
Cancer
Infectious Diseases
Maternal And Child Health
Study Design
Randomised Control Trial