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Applied Survival Analysis: Regression Modeling of Time-to-Event Data by Stanley

Description: Applied Survival Analysis by Stanley Lemeshow, Susanne May, David W. Hosmer Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book fills this gap, providing a comprehensive, self-contained introduction to regression modeling used in the analysis of time-to-event data in epidemiological, biostatistical, and other health-related research. Publisher Description THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since 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. 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, and other health-related research. This 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. Key topics covered include: variable selection, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing risk models, and missing data. Features of the Second Edition include: Expanded coverage of interactions and the covariate-adjusted survival functionsThe use of the Worchester Heart Attack Study as the main modeling data set for illustrating discussed concepts and techniquesNew discussion of variable selection with multivariable fractional polynomialsFurther exploration of time-varying covariates, complex with examplesAdditional treatment of the exponential, Weibull, and log-logistic parametric regression modelsIncreased emphasis on interpreting and using results as well as utilizing multiple imputation methods to analyze data with missing valuesNew examples and exercises at the end of each chapter Analyses throughout the text are performed using Stata® Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a valuable reference for practitioners and researchers in any health-related field or for professionals in insurance and government. Author Biography David W. Hosmer, PhD, is Professor Emeritus of Biostatistics in the School of Public Health and Heatlth Sciences at the University of Massachusetts Amherst. Dr. Hosmer is the coauthor of Applied Logistic Regression, published by Wiley. Stanley Lemeshow, PhD, is Professor and Dean of the College of Public Health at The Ohio State University. Dr. Lemeshow has over thirty-five years of academic experience in the areas of regression, categorical data methods, and sampling methods. He is the coauthor of Sampling of Population: Methods and Application and Applied Logistic Regression, both published by Wiley. Susanne May, PhD, is Assistant Professor of Biostatistics at the University of California, San Diego. Dr. May has over twelve years of experience in providing statistical support for health-related research projects. Details ISBN 0471754994 ISBN-13 9780471754992 Title Applied Survival Analysis Author Stanley Lemeshow, Susanne May, David W. Hosmer Format Hardcover Year 2008 Pages 416 Edition 2nd Publisher John Wiley & Sons Inc GE_Item_ID:4041166; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Applied Survival Analysis: Regression Modeling of Time-to-Event Data by Stanley

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

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ISBN-13: 9780471754992

Book Title: Applied Survival Analysis

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

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