Výsledky vyhledávání - "Dabrowska, Dorota M."

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Information bounds and efficient estimation in a class of censored transformation models

Autor: Dabrowska, Dorota M.

Transformation models provide a common tool for regression analysis of censored failure time data. The most common approach towards parameter estimation in these models is based on the nonparametric profile likelihood method. Several authors proposed

Externí odkaz: http://arxiv.org/abs/math/0608088

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Estimation in a semiparametric modulated renewal process

Autor: Dabrowska, Dorota M., Ho, Wai Tung

We consider parameter estimation in a regression model corresponding to an iid sequence of censored observations of a finite state modulated renewal process. The model assumes a similar form as in Cox regression except that the baseline intensities a

Externí odkaz: http://arxiv.org/abs/math/0511507

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Quantile regression in transformation models

Autor: Dabrowska, Dorota M.

Conditional quantiles provide a natural tool for reporting results from regression analyses based on semiparametric transformation models. We consider their estimation and construction of confidence sets in the presence of censoring.
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Externí odkaz: http://arxiv.org/abs/math/0511508

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Estimation in a class of semiparametric transformation models

Autor: Dabrowska, Dorota M.

Publikováno v: IMS Lecture Notes--Monograph Series 2006, Vol. 49, 131-169

We consider estimation in a class of semiparametric transformation models for right--censored data. These models gained much attention in survival analysis; however, most authors consider only regression models derived from frailty distributions whos

Externí odkaz: http://arxiv.org/abs/math/0511506

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