Penalized spline smoothing in multivariable survival models with varying coefficients

Kauermann G (2005)
COMPUTATIONAL STATISTICS & DATA ANALYSIS 49(1): 169-186.

Journal Article | Published | English

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Abstract
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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Kauermann G. Penalized spline smoothing in multivariable survival models with varying coefficients. COMPUTATIONAL STATISTICS & DATA ANALYSIS. 2005;49(1):169-186.
Kauermann, G. (2005). Penalized spline smoothing in multivariable survival models with varying coefficients. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 49(1), 169-186.
Kauermann, G. (2005). Penalized spline smoothing in multivariable survival models with varying coefficients. COMPUTATIONAL STATISTICS & DATA ANALYSIS 49, 169-186.
Kauermann, G., 2005. Penalized spline smoothing in multivariable survival models with varying coefficients. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 49(1), p 169-186.
G. Kauermann, “Penalized spline smoothing in multivariable survival models with varying coefficients”, COMPUTATIONAL STATISTICS & DATA ANALYSIS, vol. 49, 2005, pp. 169-186.
Kauermann, G.: Penalized spline smoothing in multivariable survival models with varying coefficients. COMPUTATIONAL STATISTICS & DATA ANALYSIS. 49, 169-186 (2005).
Kauermann, Göran. “Penalized spline smoothing in multivariable survival models with varying coefficients”. COMPUTATIONAL STATISTICS & DATA ANALYSIS 49.1 (2005): 169-186.
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