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The Statistical Analysis of Failure Time Data
John D. Kalbfleisch
€ 203.63
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Description for The Statistical Analysis of Failure Time Data
Hardcover. Covers the knowledge and practice in the general area of survival analysis. Series: Wiley Series in Probability and Statistics. Num Pages: 462 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 240 x 166 x 30. Weight in Grams: 796.
* Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns.
* Introduces the martingale and counting process formulation swil lbe in a new chapter.
* Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations.
* Presents new examples and applications of data analysis.
* Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns.
* Introduces the martingale and counting process formulation swil lbe in a new chapter.
* Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations.
* Presents new examples and applications of data analysis.
Product Details
Format
Hardback
Publication date
2002
Publisher
John Wiley and Sons Ltd United States
Number of pages
462
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
462
Place of Publication
, United States
ISBN
9780471363576
SKU
V9780471363576
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About John D. Kalbfleisch
JOHN D. KALBFLEISCH, PhD, is Professor of Biostatistics at the University of Michigan in Ann Arbor and the University of Waterloo in Ontario, Canada. ROSS L. PRENTICE, PhD, is Professor of Biostatistics at the Fred Hutchinson Cancer Research Center and the University of Washington in Seattle.
Reviews for The Statistical Analysis of Failure Time Data
"…provides excellent exposure to the theory." (Journal of Statistical Computation and Simulation, June 2005) "The book contains a wealth of material and analytic insight…will continue to be an invaluable resource for all researchers and graduate students in the field…for years to come." (Journal of the American Statistical Association, December 2003) "...researchers in hazard function are likely to ... Read more