Probability, Statistics and Modelling in Public Health [Paperback]

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.PrefaceForward and Backward Recurrence Times and Length Biased Sampling: Age Specific Models (M. Zelen)Difference between Male and Female Cancer Rates: How Can It Be Explained? (K. Arbeev, S. Ukraintseva, L. Arbeeva, A. Yashin)Non-parametric Estimation in Degradation-Renewal-Failure Models (V. Bagdonavicius, A. Bikelis, V. Kazakevicius, M. Nikulin)The Impact of Dementia and Sex on Disablement in the Elderly (P. Barberger-Gateau, V. Bagdonavicius, M. Nikulin, O. Zdorova-Cheminade)Nonparametric Estimation for Failure Rate Functions lc¾