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Probability, Statistics and Modelling in Public Health
. Ed(S): Nikulin, M. S.; Commenges, Daniel; Huber-Carol, Catherine
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Description for Probability, Statistics and Modelling in Public Health
Paperback. Editor(s): Nikulin, M. S.; Commenges, Daniel; Huber-Carol, Catherine. Num Pages: 480 pages, biography. BIC Classification: MBP. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 765.
Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.
Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer-Verlag New York Inc. United States
Number of pages
480
Condition
New
Number of Pages
480
Place of Publication
New York, NY, United States
ISBN
9781441938565
SKU
V9781441938565
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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