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Marginal quantile regression methods...

Zhang, Daqing.

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Marginal quantile regression methods for censored multiple event times.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Marginal quantile regression methods for censored multiple event times./
作者:	Zhang, Daqing.
面頁冊數:	110 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6711.
Contained By:	Dissertation Abstracts International66-12B.
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3199598
ISBN:	9780542463846

Marginal quantile regression methods for censored multiple event times.
Zhang, Daqing.

Marginal quantile regression methods for censored multiple event times. - 110 p.

Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6711.

Thesis (Ph.D.)--Columbia University, 2006.

In many clinical trials or epidemiologic studies it is not uncommon to observe multiple events or failures for the same study subject. Examples include the sequence of tumor recurrences, asthmatic attacks, epileptic seizures or infection episodes in an individual. Multiple event times provide additional valuable information, but, at the same time, may introduce more complicated issues into analysis. A major difficulty involved is to specify a proper dependence structure between duration times from the same individual.

ISBN: 9780542463846Subjects--Topical Terms:

517247
Statistics.

Marginal quantile regression methods for censored multiple event times.
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020 $a 9780542463846
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100 1 $a Zhang, Daqing. $3 616499
245 1 0 $a Marginal quantile regression methods for censored multiple event times.
300 $a 110 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6711.
500 $a Adviser: Zhiliang Ying.
502 $a Thesis (Ph.D.)--Columbia University, 2006.
520 $a In many clinical trials or epidemiologic studies it is not uncommon to observe multiple events or failures for the same study subject. Examples include the sequence of tumor recurrences, asthmatic attacks, epileptic seizures or infection episodes in an individual. Multiple event times provide additional valuable information, but, at the same time, may introduce more complicated issues into analysis. A major difficulty involved is to specify a proper dependence structure between duration times from the same individual.
520 $a This thesis develops statistical models and methods for the analysis of censored recurrent event times, where the censoring variables are usually always observable. Through marginal approach, which bypass the difficulty of specifying correct joint distribution of error, a censored quantile regression model that parallels that of Powell's (1984, 1986) censored quantile regression model in econometrics study is proposed for multiple event times with the accelerated failure time model in survival analysis. A modified convex loss function with small positive threshold is used for estimator estimation and covariance matrix estimation. The large sample properties and numerical study are provided for this method.
590 $a School code: 0054.
650 4 $a Statistics. $3 517247
690 $a 0463
710 2 0 $a Columbia University. $3 571054
773 0 $t Dissertation Abstracts International $g 66-12B.
790 1 0 $a Ying, Zhiliang, $e advisor
790 $a 0054
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3199598