Dr. S. R. Lasker Library Online Catalogue

Home      Library Home      Institutional Repository      E-Resources      MyAthens      EWU Home

Amazon cover image
Image from Amazon.com

Analysis of multivariate survival data / Philip Hougaard.

By: Hougaard, PhilipMaterial type: TextTextLanguage: English Series: Statistics for biology and healthPublication details: New York : Springer, 2000. Description: xvii, 542 p. ; 24 cmISBN: 0387988734 (alk. paper); 9780387988733Subject(s): Medicine -- Research -- Statistical methods | Multivariate analysis | Survival analysis (Biometry) | Multivariate Analysis | Survival AnalysisDDC classification: 610.727 LOC classification: R853.S7 | H68 2000NLM classification: 2001 G-415 | WA 950Online resources: WorldCat details | E-book Fulltext
Contents:
TOC
Review: "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.Summary: To read the book, it is useful, but not necessary, to have an understanding of univariate survival data."--BOOK JACKET.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book Dr. S. R. Lasker Library, EWU
E-book
Non-fiction 610.727 PHA 2000 (Browse shelf(Opens below)) Not For Loan
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section
Non-fiction 610.727 PHA 2000 (Browse shelf(Opens below)) C-1 Not For Loan 25673
Total holds: 0

Includes bibliographical references and index.

TOC Introduction --
Univariate survival data --
Dependence structures --
Bivariate dependence measures --
Probability aspects of multi-state models --
Statistical inference for multi-state models --
Shared frailty models --
Statistical inference for shared frailty models --
Shared frailty models for recurrent events --
Multivariate frailty models --
Instantaneous and short-term frailty models --
Competing risk models --
Marginal and copula modeling --
Multivariate non-parametric estimates --
Summary --
Mathematical results --
Iterative solutions.

"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.

English

Tahur Ahmed

There are no comments on this title.

to post a comment.