Probability, Statistics and Modelling in Public Health

  • Mikhail Nikulin
  • Daniel Commenges
  • Catherine Huber

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Konstantin G. Arbeev, Svetlana V. Ukraintseva, Lyubov S. Arbeeva, Anatoli I. Yashin
    Pages 12-22
  3. V. Bagdonavičius, A. Bikelis, V. Kazakevičius, M. Nikulin
    Pages 23-36
  4. P. Barberger-Gateau, V. Bagdonavičius, M. Nikulin, O. Zdorova-Cheminade
    Pages 37-52
  5. Dorota M. Dabrowska, Robert M. Elashoff, Donald L. Morton
    Pages 90-118
  6. Paul Deheuvels, Gérard Derzko
    Pages 119-135
  7. M.S. Finkelstein
    Pages 145-158
  8. Catherine Huber-Carol, Odile Pons, Natacha Heutte
    Pages 231-245
  9. Catherine Huber, Valentin Solev, Filia Vonta
    Pages 246-265
  10. Waltraud Kahle, Heide Wendt
    Pages 266-279
  11. Klyuzhev V.M., Ardashev V.N., Mamchich N.G., Barsov M.I., Glukhova S.I.
    Pages 280-285
  12. Axel Lehmann
    Pages 286-298
  13. Henning Läuter, Hannelore Liero
    Pages 319-331
  14. Benoit Liquet, Daniel Commenges
    Pages 332-349
  15. Ursula U. Müller, Anton Schick, Wolfgang Wefelmeyer
    Pages 350-363
  16. Martin Newby
    Pages 364-377
  17. C. Pinçon, O. Pons
    Pages 378-391
  18. Yu Shen, Giovanni Parmigiani
    Pages 405-420
  19. Veronique Sebille, Mounir Mesbah
    Pages 421-439
  20. Sidorovich G.I., Shamansky S.V., Pop V.P., Rukavicin O.A.
    Pages 440-445
  21. Back Matter
    Pages 477-479

About these proceedings


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.


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


Estimator Likelihood Radiologieinformationssystem Truncated Data best fit data analysis statistics

Editors and affiliations

  • Mikhail Nikulin
    • 1
    • 2
  • Daniel Commenges
    • 1
  • Catherine Huber
    • 3
  1. 1.Université Victor Segalin Bordeaux 2France
  2. 2.V. Steklov Mathematical InstituteSaint PetersburgRussia
  3. 3.Université René DescartesParisFrance

Bibliographic information