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Applied Survival Analysis Using R
Dirk F. Moore
€ 68.78
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Description for Applied Survival Analysis Using R
Paperback. Series: Use R!. Num Pages: 240 pages, 40 black & white illustrations, 26 colour illustrations, 7 black & white tables, 26 colou. BIC Classification: MBNS; PBT. Category: (G) General (US: Trade). Dimension: 157 x 233 x 18. Weight in Grams: 376.
Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, ... Read more
Applied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Paperback
Publication date
2016
Series
Use R!
Condition
New
Number of Pages
226
Place of Publication
Cham, Switzerland
ISBN
9783319312439
SKU
V9783319312439
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Dirk F. Moore
Dirk F. Moore is Associate Professor of Biostatistics at the Rutgers School of Public Health and the Rutgers Cancer Institute of New Jersey. He received a Ph.D. in biostatistics from the University of Washington in Seattle and, prior to joining Rutgers, was a faculty member in the Statistics Department at Temple University. He has published numerous papers on the theory ... Read more
Reviews for Applied Survival Analysis Using R
This book describes the principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R. ... The intended audience includes students taking a master's level course in statistical theory and analysts who need to work with survival time data. ... This is an excellent overview of ... Read more