Geodesic
Asymptotic analysis of a new dynamic semiparametric regression model with cross-effects of survivals
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 16, Tome 384 (2010), pp. 29-39 Cet article a éte moissonné depuis la source Math-Net.Ru

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A new flexible and simple semiparametric model including the cases when hazard rates cross, go away, are proportional, approach or converge is proposed. Semiparametric estimation procedures for censored data are given. A test for absence of hazard rates crossing is proposed. Bibl. 11 titles. 
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V. Bagdonavičius; R. Levuliené; M. Nikulin. Asymptotic analysis of a new dynamic semiparametric regression model with cross-effects of survivals. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 16, Tome 384 (2010), pp. 29-39. http://geodesic.mathdoc.fr/item/ZNSL_2010_384_a2/

[1] P. K. Andersen, O. Borgan, R. Gill, N. Keiding, Statistical models based on counting processes, Springer, New York, 1991 | MR

[2] V. Bagdonavičius, J. Kruopis, M. Nikulin, Non-parametric tests for censored data, ISTE – J. Wiley, London, 2010

[3] V. Bagdonavičius, M. A. Hafdi, M. Nikulin, “Analysis of survival data with cross-effects of survival functions”, Biostatistics, 5 (2004), 415–425 | DOI | Zbl

[4] V. Bagdonavičius, M. Nikulin, Accelerated life models, Chapman and Hall CRC, Boca Raton, 2002

[5] V. Bagdonavičius, M. Nikulin, “Generalized proportional hazards model based on modified partial likelihood”, Lifetime Data Analysis, 5 (1999), 329–350 | DOI | MR | Zbl

[6] R. Henderson, “Discussion on the paper by Zeng and Lin”, J. R. Statist. Soc. B, 69 (2007), 536–537

[7] F. Hsieh, “On heteroscedastic hazards regression models: theory and application”, J. Royal Statist. Soc. B, 63 (2001), 63–79 | DOI | MR | Zbl

[8] J. P. Klein, M. L. Moeschberger, Survival Analysis, Springer, New York, 1997

[9] S. A. Murphy, A. W. van der Vaart, “On profile likelihood”, JASA, 95 (2000), 449–465 | DOI | MR

[10] D. M. Stablein, I. A. Koutrouvelis, “A two sample test sensitive to crossing hazards in uncensored and singly censored data”, Biometrics, 41 (1985), 643–652 | DOI | MR | Zbl

[11] D. Zeng, D. Y. Lin, “Maximum likelihood estimation in semiparametric regression models with censored data”, J. R. Statist. Soc. B, 69 (2007), 509–564 | DOI | MR