Analysis of Multivariate Survival Data
By Philip Hougaard
"Analysis of Multivariate Survival Data" is published by Springer in 2000 - New York, the book is classified in Medical genre, it has 542 pages and the language of the book is English.
“Analysis of Multivariate Survival Data” Metadata:
- Title: ➤ Analysis of Multivariate Survival Data
- Author: Philip Hougaard
- Language: English
- Number of Pages: 542
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer
- Publish Date: 2000
- Publish Location: New York
- Genres: Medical
“Analysis of Multivariate Survival Data” Subjects and Themes:
- Subjects: ➤ Medicine - Multivariate analysis - Research - Statistical methods - Survival Analysis - Survival analysis (Biometry) - Medical statistics - Function spaces - Stochastic processes - Statistics - Statistics for Life Sciences, Medicine, Health Sciences - Medicine/Public Health, general
Edition Specifications:
- Pagination: xvii, 542 p. :
Edition Identifiers:
- Google Books ID: lWDaNHRQNBcC
- The Open Library ID: OL18179268M - OL8059664W
- Online Computer Library Center (OCLC) ID: 44117877 - 44090528
- Library of Congress Control Number (LCCN): 00040047 - 00040041
- ISBN-13: 9780387988733
- ISBN-10: 0387988734
- All ISBNs: 0387988734 - 9780387988733
AI-generated Review of “Analysis of Multivariate Survival Data”:
Snippets and Summary:
This book extends the field by allowing for multivariate times. As the field is rather new, the concepts and the possible types of data are described in detail.
"Analysis of Multivariate Survival Data" Description:
The Open Library:
"This book is aimed at investigators who need to analyze multivariate survival data. It can be used as a textbook for a graduate course in multivariate survival data. It is written from an applied point of view and covers all the essential aspects of applying multivariate survival models. More theoretical evaluations, like asymptotic theory, are also described, but only to the extent useful in applications and for understanding the models. To read the book, it is useful, but not necessary, to have an understanding of univariate survival data."--BOOK JACKET.
Google Books:
Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. As the field is rather new, the concepts and the possible types of data are described in detail. Four different approaches to the analysis of such data are presented from an applied point of view.
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