Journal
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Volume 49, Issue 1, Pages 169-186Publisher
ELSEVIER
DOI: 10.1016/j.csda.2004.05.006
Keywords
generalized linear mixed model; P-spline smoothing; survival model; varying coefficient model
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Penalized spline (P-spline) smoothing is discussed for hazard regression of multivariable survival data. Non-proportional hazard functions are fitted in a numerically handy manner by employing Poisson regression which results from numerical integration of the cumulative hazard function. Multivariate smoothing parameters are selected by utilizing the connection between P-spline smoothing and generalized linear mixed models. A hybrid routine is suggested which combines the mixed model idea with a classical Akaike information criteria. The model is evaluated with simulations and applied to data on the success and failure of newly founded companies. (C) 2004 Elsevier B.V. All rights reserved.
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