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Survival Models and Data Analysis
Regina C. Elandt-Johnson
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Description for Survival Models and Data Analysis
Paperback. Series: Wiley Classics Library. Num Pages: 457 pages, Illustrations. BIC Classification: JHBD; MBNS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 155 x 22. Weight in Grams: 647.
Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.
Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.
Product Details
Format
Paperback
Publication date
1999
Publisher
John Wiley and Sons Ltd United States
Number of pages
457
Condition
New
Series
Wiley Classics Library
Number of Pages
457
Place of Publication
, United States
ISBN
9780471349921
SKU
V9780471349921
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Regina C. Elandt-Johnson
About the authors REGINA C. ELANDT-JOHNSON has been Professor of Biostatistics at the University of North Carolina at Chapel Hill since 1964. She is the author of Probability Models and Statistical Methods in Genetics (Wiley, 1971). Dr. Elandt-Johnson received her Ph.D. in statistics from Poznan Agricultural University in 1957. NORMAN L. JOHNSON is Alumni Distinguished Professor at the ... Read more
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