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Probability, Statistics and Modelling in Public Health



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Probability, Statistics and Modelling in Public Health
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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.
Release date NZ
October 1st, 2005
Edited by Catherine Huber Edited by Daniel Commenges Edited by Mikhail Nikulin
Country of Publication
United States
2006 ed.
XXIV, 480 p.
Springer-Verlag New York Inc.
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