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Longitudinal data with change-points.

Zhou, Wei.

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Longitudinal data with change-points.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Longitudinal data with change-points./
Author:	Zhou, Wei.
Description:	130 p.
Notes:	Source: Masters Abstracts International, Volume: 45-04, page: 1995.
Contained By:	Masters Abstracts International45-04.
Subject:	Statistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR24840
ISBN:	9780494248409

Longitudinal data with change-points.
Zhou, Wei.

Longitudinal data with change-points. - 130 p.

Source: Masters Abstracts International, Volume: 45-04, page: 1995.

Thesis (M.Sc.)--McGill University (Canada), 2006.

Longitudinal data often consist of a set of covariates and repeated measurements of an outcome over time. In clinical and health studies, a main concern is often the time that a treatment takes into effect, which is referred to as the change-point in this thesis. Modeling and measuring impact of a change in longitudinal data has not been thoroughly explored in the statistical literature. Viewing longitudinal data from the perspective of change-point analysis, we have a data structure that statisticians sometimes refer to as a multi-path change-point problem.

ISBN: 9780494248409Subjects--Topical Terms:

517247
Statistics.

Longitudinal data with change-points.
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245 1 0 $a Longitudinal data with change-points.
300 $a 130 p.
500 $a Source: Masters Abstracts International, Volume: 45-04, page: 1995.
502 $a Thesis (M.Sc.)--McGill University (Canada), 2006.
520 $a Longitudinal data often consist of a set of covariates and repeated measurements of an outcome over time. In clinical and health studies, a main concern is often the time that a treatment takes into effect, which is referred to as the change-point in this thesis. Modeling and measuring impact of a change in longitudinal data has not been thoroughly explored in the statistical literature. Viewing longitudinal data from the perspective of change-point analysis, we have a data structure that statisticians sometimes refer to as a multi-path change-point problem.
520 $a In multipath change-point problems, it is often of interest to assess the impact of covariates on the change-point. We model the effect of covariates through hazard of the change using Cox's proportional odds model. We take a maximum quasi-likelihood (MqL) approach in estimation and statistical inference. To find the MqL estimators of the unknown parameters in our model, we have used a variant of simulated annealing. By the means of simulation we compare our model with a model suggested by Diggle et al. for analyzing a set of longitudinal observations on the body weights of 27 cows.
590 $a School code: 0781.
650 4 $a Statistics. $3 517247
690 $a 0463
710 2 $a McGill University (Canada). $3 1018122
773 0 $t Masters Abstracts International $g 45-04.
790 $a 0781
791 $a M.Sc.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR24840