Estimation in additive cox models by marginal integration
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DOI: 10.1007/BF02509232
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References listed on IDEAS
- Linton, Oliver B., 2000.
"Efficient Estimation Of Generalized Additive Nonparametric Regression Models,"
Econometric Theory, Cambridge University Press, vol. 16(4), pages 502-523, August.
- Linton, Oliver, 2000. "Efficient estimation of generalized additive nonparametric regression models," LSE Research Online Documents on Economics 314, London School of Economics and Political Science, LSE Library.
- Opsomer, Jean D., 2000. "Asymptotic Properties of Backfitting Estimators," Journal of Multivariate Analysis, Elsevier, vol. 73(2), pages 166-179, May.
- Linton, Oliver B. & Perch Nielsen, Jens & Van de Geer, Sara, 2001.
"Estimating Multiplicative and Additive Hazard Functions by Kernel Methods,"
Finance Working Papers
01-2, University of Aarhus, Aarhus School of Business, Department of Business Studies.
- Oliver Linton & Jens Perch Nielsen & Sara van de Geer, 2001. "Estimating Multiplicative and Additive Hazard Functions by Kernel Methods," STICERD - Econometrics Paper Series 411, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Linton, Oliver & Perch Nielsen, Jens & van de Geer, Sara, 2001. "Estimating multiplicative and additive hazard functions by kernel methods," LSE Research Online Documents on Economics 2168, London School of Economics and Political Science, LSE Library.
- Oliver LINTON, "undated". "Kernel estimation in a nonparametric marker dependent Hazard Model," Statistic und Oekonometrie 9313, Humboldt Universitaet Berlin.
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Cited by:
- Lin Liu & Jianbo Li & Riquan Zhang, 2014. "General partially linear additive transformation model with right-censored data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(10), pages 2257-2269, October.
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Keywords
Additive modeling; censoring time; failure time; local linear fitting; local partial likelihood; marginal integration method; two-sample estimator; proportional hazards models;All these keywords.
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