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Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates/ by Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen.
作者:	Wilson, Jeffrey R.
其他作者:	Vazquez-Arreola, Elsa.
面頁冊數:	XXIII, 166 p. 20 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-3-030-48904-5
ISBN:	9783030489045

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
Wilson, Jeffrey R.

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates[electronic resource] /by Jeffrey R. Wilson, Elsa Vazquez-Arreola, (Din) Ding-Geng Chen. - 1st ed. 2020. - XXIII, 166 p. 20 illus.online resource. - Emerging Topics in Statistics and Biostatistics ,2524-7735. - Emerging Topics in Statistics and Biostatistics ,.

1. Introduction to Binary Regression Models -- 2. Generalized Estimating Equations Binary Models -- 3. Lai and Small Models for Time-Dependent Covariates -- 4. Lalonde, wilson, and Yin Models for Time-Dependent Covariates -- 5. Irimata, Broatch, and Wilson Models for Time-Dependent Covariates -- 6. Bayesian GMM to IBW Method of Analysis -- 7. Models for Joint Responses for Time-Dependent Covariates -- 8. Other Models for Time-Dependent Covariates.

This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health.

ISBN: 9783030489045

Standard No.: 10.1007/978-3-030-48904-5doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

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