[PDF.72ar] Modeling Survival Data: Extending the Cox Model (Statistics for Biology and Health)

Modeling Survival Data: Extending the Cox Model (Statistics for Biology and Health)

[PDF.mc93] Modeling Survival Data: Extending the Cox Model (Statistics for Biology and Health)

Modeling Survival Data: Extending  Terry M. Therneau, Patricia M. Grambsch epub
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 | #1375275 in Books |  2001-08-24 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,1.50 | File type: PDF | 350 pages

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||30 of 30 people found the following review helpful.| excellent treatment of modern survival analysis emphasizing the Cox model and extensions of it|By Michael R. Chernick|Terry Therneau is a research statistician at the Mayo Clinic and Patricia Grambsch is a Professor of Biostatistics at the University of Minnesota. The Cox proportional hazards model has been one of the key methods for analyzing survival data with covariates fo| ||From the reviews: |TECHNOMETRICS |"I would be curious to know how many people bought the book by Fleming and Harrington (1991) and by Anderson, Borgan, Gill, and Keiding (1993) when they first appeared hoping for an introduction to the subject. Instead we all

This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new method...

You easily download any file type for your device.Modeling Survival Data: Extending the Cox Model (Statistics for Biology and Health)   |  Terry M. Therneau, Patricia M. Grambsch.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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