Author: David W. Hosmer Jr.
Edition: 2
Binding: Hardcover
ISBN: 0471754994
Edition: 2
Binding: Hardcover
ISBN: 0471754994
Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability and Statistics)
THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA-NOW IN A VALUABLE NEW EDITIONSince publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages.
Categories: Survival analysis (Biometry). Contributors: Chap T. Le - Author. Format: Paperback
However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, an
Applied Survival Analysis: Regression Modeling of Time to Event Data
Applied Survival Analysis: Regression Modeling of Time to Event Data: David W. Hosmer, Stanley Lemeshow
Categories: Survival analysis (Biometry). Contributors: Chap T. Le - Author. Format: Paperback
Applied Survival Analysis : Regression Modeling of Time to Event Data, ISBN-13: 9780471754992, ISBN-10: 0471754994
Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. The book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It offers a clear and accessible presentation of modern modeling techniques supplemented with real-world examples and case studies.
Download Applied Survival Analysis
Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, an
