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Statistical modeling of multivariate...

Yang, Rong.

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Statistical modeling of multivariate longitudinal binary data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical modeling of multivariate longitudinal binary data./
作者:	Yang, Rong.
面頁冊數:	146 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2147.
Contained By:	Dissertation Abstracts International66-04B.
標題:	Statistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3172866
ISBN:	0542100339

Statistical modeling of multivariate longitudinal binary data.
Yang, Rong.

Statistical modeling of multivariate longitudinal binary data. - 146 p.

Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2147.

Thesis (Ph.D.)--University of Minnesota, 2005.

This thesis research focuses on developing new statistical modeling procedures for analyzing multivariate, longitudinal, binary (MLB) data with a latent variable and one or more covariates. It is motivated by a psychological study about anger.

ISBN: 0542100339Subjects--Topical Terms:

517247
Statistics.

Statistical modeling of multivariate longitudinal binary data.
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500 $a Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2147.
500 $a Adviser: Peihua Qiu.
502 $a Thesis (Ph.D.)--University of Minnesota, 2005.
520 $a This thesis research focuses on developing new statistical modeling procedures for analyzing multivariate, longitudinal, binary (MLB) data with a latent variable and one or more covariates. It is motivated by a psychological study about anger.
520 $a A new two-stage model is proposed for describing the time course of a latent variable which is believed to drive all the observable response variables, and for describing the relationship between the latent variable and the response variables. Based on the generalized estimating equations method, a blocked iterative algorithm is proposed for parameter estimation. This model is generalized in three different ways to accommodate both time-invariant and time-variant covariates. A multiple comparison approach is also discussed for comparing response variables.
520 $a The proposed method is then applied to a tantrum data set, which motivates the current research. More specifically, our two-stage modeling procedure is used for describing the time course of the anger intensity quantitatively, for building a numerical relationship between the unobservable anger intensity and some observable angry behaviors, and for detecting possible effects of some covariates, including tantrum duration, children's age and gender, and so forth.
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