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Applied Survival Analysis
Chap T. Le
€ 166.27
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Description for Applied Survival Analysis
Paperback. Introduces applied research areas and a number of real-life questions and examples with basic methods in nonparametric statistics, including the concept of censoring, which distinguishes survival analysis from other areas of statistics. Series: Wiley Series in Probability and Statistics. Num Pages: 280 pages, Illustrations. BIC Classification: MBNS; PBT; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 227 x 162 x 17. Weight in Grams: 418.
This concise, application-oriented text is designed to meet the needs of practitioners and students in applied fields in its coverage of major, updated methods in the analysis of survival data. Includes analysis of standardized mortality ratios, methods for proving attenuation of healthy worker effects, ordinal risk factors and other new areas of research. Timely and diverse case studies are presented, plus a complete data set on ESRD patients on hemodialysis. Moderate level of mathematics required.
This concise, application-oriented text is designed to meet the needs of practitioners and students in applied fields in its coverage of major, updated methods in the analysis of survival data. Includes analysis of standardized mortality ratios, methods for proving attenuation of healthy worker effects, ordinal risk factors and other new areas of research. Timely and diverse case studies are presented, plus a complete data set on ESRD patients on hemodialysis. Moderate level of mathematics required.
Product Details
Format
Paperback
Publication date
1997
Publisher
John Wiley and Sons Ltd United States
Number of pages
280
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
280
Place of Publication
, United States
ISBN
9780471170853
SKU
V9780471170853
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Chap T. Le
CHAP T. LE, PhD, is Professor and Director of Biostatistics at the University of Minnesota's Cancer Center and Otitis Media Research Center. Dr. Le's many works on biostatistics include Health and Numbers: Basic Biostatistical Methods (Wiley), coauthored with James R. Boen.
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