Description: Applied Survival Analysis : Regression Modeling of Time-to-Event Data, Hardcover by Hosmer, David W.; Lemeshow, Stanley; May, Susanne, ISBN 0471754994, ISBN-13 9780471754992, Like New Used, Free shipping in the US Hosmer (emeritus, biostatistics, University of Massachusetts-Amherst) introduces regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. Th places emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory, and illustrates modern modeling techniques with real-world examples and case studies. Key topics covered include variable selection, assessment of fit and model assumptions, and regression diagnostics. This second edition offers expanded coverage of covariate-adjusted survival functions, new discussion of variable selection with multivariable fractional polynomials, and the use of the Worchester Heart Attack Study as the main modeling data set for illustrating concepts and techniques. There is increased emphasis on interpreting and using results and analyzing data with missing values. New chapter exercises are also included. Annotation ©2008 Book News, Inc., Portland, OR ()
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Book Title: Applied Survival Analysis : Regression Modeling of Time-to-Event
Number of Pages: 416 Pages
Publication Name: Applied Survival Analysis : Regression Modeling of Time-To-Event Data
Language: English
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2008
Item Height: 1.1 in
Subject: Probability & Statistics / General, Probability & Statistics / Regression Analysis, General, Diagnosis, Research
Item Weight: 26.5 Oz
Type: Textbook
Author: Susanne May, David W. Hosmer Jr., Stanley Lemeshow
Subject Area: Mathematics, Medical
Item Length: 9.3 in
Series: Wiley Series in Probability and Statistics Ser.
Item Width: 6.1 in
Format: Hardcover
