Analysis of multivariate survival data / Philip Hougaard.Material type: TextLanguage: 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
|Item type||Current library||Collection||Call number||Copy number||Status||Date due||Barcode||Item holds|
|E-Book||EWU Library E-book||Non-fiction||610.727 PHA 2000 (Browse shelf(Opens below))||Not For Loan|
|Text||EWU Library Reserve Section||Non-fiction||610.727 PHA 2000 (Browse shelf(Opens below))||C-1||Not For Loan||25673|
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 --
Mathematical results --
"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.