.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Competing Risks and Multistate Models with R
Beyersmann, Jan; Schumacher, Martin; Allignol, Arthur
€ 116.67
FREE Delivery in Ireland
Description for Competing Risks and Multistate Models with R
Paperback. This book explains hazard-based analyses of competing risks and multistate data using the R statistical programming code, placing special emphasis on interpretation of results. Includes real data examples, and encourages readers to simulate their own data. Series: Use R!. Num Pages: 256 pages, 49 black & white illustrations, 3 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 237 x 158 x 15. Weight in Grams: 390.
This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted with a focus on nonparametric methods.
This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted with a focus on nonparametric methods.
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
256
Condition
New
Series
Use R!
Number of Pages
245
Place of Publication
New York, NY, United States
ISBN
9781461420347
SKU
V9781461420347
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Beyersmann, Jan; Schumacher, Martin; Allignol, Arthur
The authors are affiliated with the Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg and the Freiburg Center for Data Analysis and Modelling, University of Freiburg, Germany. Jan Beyersmann is Senior Statistician and serves on the editorial board of Statistics in Medicine. Arthur Allignol is Statistician and has contributed several R packages on competing risks and multistate ... Read more
Reviews for Competing Risks and Multistate Models with R