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Penalized spline smoothing in multivariable survival models with varying coefficients

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  • Kauermann, Goran
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    File URL: http://www.sciencedirect.com/science/article/B6V8V-4CVWR8T-1/2/d6f3e60dc87d1ea32b8677e711df938d
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    Bibliographic Info

    Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

    Volume (Year): 49 (2005)
    Issue (Month): 1 (April)
    Pages: 169-186

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    Handle: RePEc:eee:csdana:v:49:y:2005:i:1:p:169-186

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    Web page: http://www.elsevier.com/locate/csda

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    1. J. G. Booth & J. P. Hobert, 1999. "Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 265-285.
    2. Cai, T. & Hyndman, R.J. & Wand, M.P., 2000. "Mixed Model-Based Hazard Estimation," Monash Econometrics and Business Statistics Working Papers 11/00, Monash University, Department of Econometrics and Business Statistics.
    3. Zongwu Cai, 2003. "Local Linear Estimation for Time-Dependent Coefficients in Cox's Regression Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics & Finnish Statistical Society & Norwegian Statistical Association & Swedish Statistical Association, vol. 30(1), pages 93-111.
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    Cited by:
    1. Costa, M.J. & Shaw, J.E.H., 2009. "Parametrization and penalties in spline models with an application to survival analysis," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 657-670, January.
    2. Ma, Jun & Heritier, Stephane & Lô, Serigne N., 2014. "On the maximum penalized likelihood approach for proportional hazard models with right censored survival data," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 142-156.
    3. Hwang, Ruey-Ching, 2012. "A varying-coefficient default model," International Journal of Forecasting, Elsevier, vol. 28(3), pages 675-688.
    4. Torben Kuhlenkasper & Göran Kauermann, 2009. "Duration of Maternity Leave in Germany: A Case Study of Nonparametric Hazard Models and Penalized Splines," SOEPpapers on Multidisciplinary Panel Data Research 213, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Kuhlenkasper, Torben & Kauermann, Göran, 2010. "Duration of maternity leave in Germany: A case study of nonparametric hazard models and penalized splines," Labour Economics, Elsevier, vol. 17(3), pages 466-473, June.

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