February 2005 Charleston SCASA Meeting

February 25, 2005
Charleston SCASA Meeting

Location: North Towne Grill and Seafood
2093 Eagle Landing Blvd., North Charleston

6:00 pm Registration and Happy Hour (cash bar)
7:00 pm Dinner (Greek Buffet) $14 non-students, $10 students
8:00 pm Guest Speaker: M. Brent McHenry
Department of Biostatistics, Bioinformatics, and Epidemiology
Medical University of South Carolina

Estimation and Goodness of Fit for Additive Rate Regression Models with Parametric Underlying Failure Time Distributions
(a talk for a general statistical audience )

For failure time outcomes, modeling the hazard rate as an exponential function of covariates is by far the most popular. However, in the last few decades, additive hazard rate regression models have received some attention, in which the hazard rate is modeled as a linear function of the covariates. Popular fully parametric distributions include the exponential and piecewise exponential. In this paper, for an additive rate regression model in which the distribution of the failure time is exponential or piecewise exponential, we show that the maximum likelihood estimates (MLE) can be obtained using a Poisson linear model, without any additional programming or iteration loops. As a result, the MLEs can be obtained in any generalized linear models program. We propose a goodness of fit statistic for the overall model fit. We apply the proposed methods in two examples in which the additive hazard rate regression model appears more appropriate.

Contact Matteo Bottai for more information.
Please RSVP by 3:00pm Thursday, February 24th