Focused Information Criteria for the Linear Hazard Regression Model
arXiv:2605.04086
Abstract
The linear hazard regression model developed by Aalen is becoming an increasingly popular alternative to the Cox multiplicative hazard regression model. There are no methods in the literature for selecting among different candidate models of this nonparametric type, however. In the present paper a focused information criterion is developed for this task. The criterion works for each specified covariate vector, by estimating the mean squared error for each candidate model's estimate of the associated cumulative hazard rate; the finally selected model is the one with lowest estimated mean squared error. Averaged versions of the criterion are also developed.
16 pges, no figures. Statistical Research Report, Department of Mathematics, University of Oslo, 2008; published, in essentially this form, in "Statistical Models and Methods for Biomedical and Technical Systems", 2008 (eds. F. Vonta, M. Nikulin, N. Limnios, C. Huber-Carol), Birkhauser, pages 487-502