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Probability, Statistics and Modelling in Public Health

  • Conference proceedings
  • © 2006

Overview

  • Marks the advances of statistical methods in public health
  • Includes supplementary material: sn.pub/extras

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Table of contents (32 papers)

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About this book

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.

Editors and Affiliations

  • Université Victor Segalin Bordeaux 2, France

    Mikhail Nikulin, Daniel Commenges

  • V. Steklov Mathematical Institute, Saint Petersburg, Russia

    Mikhail Nikulin

  • Université René Descartes, Paris, France

    Catherine Huber

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