Analysis of multivariate survival data /

Hougaard, Philip.

Analysis of multivariate survival data / Philip Hougaard. - New York : Springer, 2000. - xvii, 542 p. ; 24 cm. - Statistics for biology and health . - Statistics for biology and health. .

Includes bibliographical references and index.

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. TOC

"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.

0387988734 (alk. paper) 9780387988733


Medicine--Research--Statistical methods.
Multivariate analysis.
Survival analysis (Biometry)
Multivariate Analysis.
Survival Analysis.

R853.S7 / H68 2000

610.727 / PHA 2000

2001 G-415 WA 950 / H838a 2000

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