Analysis of multivariate survival data / Philip Hougaard.

By: Hougaard, Philip
Material type: TextTextLanguage: English Series: Statistics for biology and health: Publisher: New York : Springer, 2000Description: 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 2000Online resources: WorldCat details | E-book Fulltext
Contents:
Table of contents
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.
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Includes bibliographical references and index.

Table of contents 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

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