Author: Mara Tableman
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1584884088
Survival Analysis Using S: Analysis of Time-to-Event Data (Chapman & Hall/CRC Texts in Statistical Science)
Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Medical books Survival Analysis Using S. Prerequisites are a standard pre-calculus first course in probability and statistics, and a course in applied linear regression models. No prior knowledge of S or R is assumed. A wide choice of exercises is included, some intended for more advanced students with a first course in mathematical statistics.
The authors emphasize parametric log-linear models, while also detailing nonparametric procedures along with model building and data diagnostics Medical books Survival Analysis Using S: Analysis Of Time-To-Event Data Ebook. Buy Survival Analysis Using S: Analysis of Time-to-Event Data by Tableman, Mara and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!
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Buy Survival Analysis Using S: Analysis of Time-to-Event Data by Tableman, Mara and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!
Store Search search Title, ISBN and Author Survival Analysis Using S: Analysis of Time-To-Event Data by Mara Tableman, Jong Sung Kim Estimated delivery 3-12 business days Format Hardcover Condition Brand New Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probab
Survival Analysis Using S Analysis of Time-To-Event Data, ISBN-13: 9781584884088, ISBN-10: 1584884088
author mara tableman format hardback language english publication year 28 07 2003 series texts in statistical science subject mathematics sciences subject 2 mathematics title survival analysis using s analysis of time to event data author chatfield chris series edited by tanner martin a series edited by tanner martin a series edited by tableman mara author kim jong sung author publisher crc pr i llc publication date jul 01 2003 pages 264 binding hardcover edition 1 st dimensions 6 25 wx 9 25 h
Medical Book Survival Analysis Using S
Prerequisites are a standard pre-calculus first course in probability and statistics, and a course in applied linear regression models. No prior knowledge of S or R is assumed. A wide choice of exercises is included, some intended for more advanced students with a first course in mathematical statistics.
The authors emphasize parametric log-linear models, while also detailing nonparametric procedures along with model building and data diagnostics. Medical and public health researchers will find the discussion of cut point analysis with bootstrap validation, competing risks and the cumulative incidence estimator, and the analysis of left-truncated and right-censored data invaluable. The bootstrap procedure checks robustness of cut point analysis and determines cut point(s).
In a chapter written by Stephen Portnoy, censored regression quantiles - a new nonparametric regression methodology (2003) - is developed to identify important forms of population heterogeneity and to detect departures from traditional Cox models. By generalizing the Kaplan-Meier estimator to regression models for conditional quantiles, this methods provides a valuable complement to traditional Cox proportional hazards approaches.
