Probability, Statistics and Modelling in Public Health

Nikulin, M.S. (Editor) / Commenges, Daniel (Editor) / Huber-Carol, Catherine (Editor)

ISBN 10: 1441938567 / ISBN 13: 9781441938565

Editore: Springer US, 2005

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479 pages. 9.00x6.00x1.14 inches. In Stock.

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Dati bibliografici

• Titolo: Probability, Statistics and Modelling in Public Health
• Editore: Springer US
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 1441938567
• ISBN 13: 9781441938565
• Rilegatura: Paperback
• Condizione: Brand New

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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.

Audience

This book is intended for researchers interested in statistical methodology in the biomedical field.