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Statistical Methods for Survival Data Analysis by Elisa T Lee: Used

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Book Title
Statistical Methods for Survival Data Analysis
Publication Date
2013-10-07
Edition Number
4
Pages
512
ISBN
9781118095027
Subject Area
Mathematics, Medical
Publication Name
Statistical Methods for Survival Data Analysis
Publisher
Wiley & Sons, Incorporated, John
Item Length
9.6 in
Subject
Biostatistics, Probability & Statistics / General, Diagnosis, Research, Epidemiology
Publication Year
2013
Series
Wiley Series in Probability and Statistics Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.2 in
Author
John Wenyu Wang, Elisa T. Lee
Item Weight
28.5 Oz
Item Width
6.4 in
Number of Pages
512 Pages

關於產品

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118095022
ISBN-13
9781118095027
eBay Product ID (ePID)
164699137

Product Key Features

Number of Pages
512 Pages
Publication Name
Statistical Methods for Survival Data Analysis
Language
English
Publication Year
2013
Subject
Biostatistics, Probability & Statistics / General, Diagnosis, Research, Epidemiology
Type
Textbook
Subject Area
Mathematics, Medical
Author
John Wenyu Wang, Elisa T. Lee
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
28.5 Oz
Item Length
9.6 in
Item Width
6.4 in

Additional Product Features

Edition Number
4
Intended Audience
Scholarly & Professional
LCCN
2013-009388
Dewey Edition
21
Reviews
"In summary, this book continues to improve, and the fourth edition is a welcome addition to the available books on survival analysis. The expanded sections on modelling and the addition of R software examples are particularly helpful." ( International Statistical Review , 1 October 2015)
Illustrated
Yes
Dewey Decimal
610.72
Synopsis
Praise for the Third Edition ". . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject." Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences. Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: Marginal and random effect models for analyzing correlated censored or uncensored data Multiple types of two-sample and K-sample comparison analysis Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role., Upgraded to reflect the latest research and software applications on the topic, this new edition continues to provide a comprehensive introduction to the statistical methods for analyzing survival data., Praise for the Third Edition ". . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject." -- Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences. Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: Marginal and random effect models for analyzing correlated censored or uncensored data Multiple types of two-sample and K-sample comparison analysis Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.
LC Classification Number
R853.S7L43 2013

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