The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling ApproachКНИГИ » НАУКА И УЧЕБА
Название: The Statistical Analysis of Multivariate Failure Time data: A Marginal Modeling Approach Автор: Ross L. Prentice, Shanshan Zhao Издательство: CRC Press Год: 2019 Формат: PDF Страниц: 241 Размер: 11.01 МБ Язык: English
The Statistical Analysis of Multivariate Failure Time data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression information. For example, in a context of randomized trial or cohort studies, the results go beyond that obtained by analyzing each failure time outcome in a univariate fashion. The book is addressed to researchers, practitioners, and graduate students, and can be used as a reference or as a graduate course text.
Much of the literature on the analysis of censored correlated failure time data uses frailty or copula models to allow for residual dependencies among failure times, given covariates. In contrast, this book provides a detailed account of recently developed methods for the simultaneous estimation of marginal single and dual outcome hazard rate regression parameters, with emphasis on multiplicative (Cox) models. Illustrations are provided of the utility of these methods using Women’s Health Initiative randomized controlled trial data of menopausal hormones and of a low-fat dietary pattern intervention. As byproducts, these methods provide flexible semiparametric estimators of pairwise bivariate survivor functions at specified covariate histories, as well as semiparametric estimators of cross ratio and concordance functions given covariates. The presentation also describes how these innovative methods may extend to handle issues of dependent censorship, missing and mismeasured covariates, and joint modeling of failure times and covariates, setting the stage for additional theoretical and applied developments. This book extends and continues the style of the classic Statistical Analysis of Failure Time Data by Kalbfleisch and Prentice.
Multivariate Data Analysis: Using SPSS and AMOS Название: Multivariate Data Analysis: Using SPSS and AMOS Автор: R. Shanthi Издательство: MJP Publishers Год: 2019 Формат: PDF Размер: 35 Мб Язык:...
Using R With Multivariate Statistics Название: Using R With Multivariate Statistics Автор: Randall E. Schumacker Издательство: SAGE Publications Год: 2016 Страниц: 408 Формат: EPUB, AZW3...
Exploratory Data Analysis with R Название: Exploratory Data Analysis with R Автор: Roger D. Peng Издательство: Leanpub Год: 2015 Страниц: 125 Формат: True PDF Размер: 10 Mb Язык:...
Информация
Посетители, находящиеся в группе Гости, не могут оставлять комментарии к данной публикации.
Навигация
Вход на сайт
Реклама
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach 
