Probability, Statistics and Modelling in Public Health

1. Front Matter

   Pages I-XXIV

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2. Forward and Backward Recurrence Times and Length Biased Sampling: Age Specific Models

   • Marvin Zelen

   Pages 1-11

3. Difference between Male and Female Cancer Incidence Rates: How Can It Be Explained?

   • Konstantin G. Arbeev, Svetlana V. Ukraintseva, Lyubov S. Arbeeva, Anatoli I. Yashin

   Pages 12-22

4. Non-parametric estimation in degradation-renewal-failure models

   • V. Bagdonavičius, A. Bikelis, V. Kazakevičius, M. Nikulin

   Pages 23-36

5. The Impact of Dementia and Sex on the Disablement in the Elderly

   • P. Barberger-Gateau, V. Bagdonavičius, M. Nikulin, O. Zdorova-Cheminade

   Pages 37-52

6. Nonparametric Estimation for Failure Rate Functions of Discrete Time semi-Markov Processes

   • Vlad Barbu, Nikolaos Limnios

   Pages 53-72

7. Some recent results on joint degradation and failure time modeling

   • Vincent Couallier

   Pages 73-89

8. Estimation in a Markov chain regression model with missing covariates

   • Dorota M. Dabrowska, Robert M. Elashoff, Donald L. Morton

   Pages 90-118

9. Tests of Fit based on Products of Spacings

   • Paul Deheuvels, Gérard Derzko

   Pages 119-135

10. A Survival Model With Change-Point in Both Hazard and Regression Parameters

    • Dupuy Jean-François

    Pages 136-144

11. Mortality in Varying Environment

    • M.S. Finkelstein

    Pages 145-158

12. Goodness of Fit of a joint model for event time and nonignorable missing Longitudinal Quality of Life data

    • Sneh Gulati, Mounir Mesbah

    Pages 159-168

13. Three approaches for estimating prevalence of cancer with reversibility. Application to colorectal cancer

    • C. Gras, J.P. Daurès, B. Tretarre

    Pages 169-186

14. On statistics of inverse gamma process as a model of wear

    • B.P. Harlamov

    Pages 187-201

15. Operating Characteristics of Partial Least Squares in Right-Censored Data Analysis and Its Application in Predicting the Change of HIV-I RNA

    • Jie Huang, David Harrington

    Pages 202-230

16. Inference for a general semi-Markov model and a sub-model for independent competing risks

    • Catherine Huber-Carol, Odile Pons, Natacha Heutte

    Pages 231-245

17. Estimation Of Density For Arbitrarily Censored And Truncated Data

    • Catherine Huber, Valentin Solev, Filia Vonta

    Pages 246-265

18. Statistical Analysis of Some Parametric Degradation Models

    • Waltraud Kahle, Heide Wendt

    Pages 266-279

19. Use of statistical modelling methods in clinical practice

    • Klyuzhev V.M., Ardashev V.N., Mamchich N.G., Barsov M.I., Glukhova S.I.

    Pages 280-285

20. Degradation-Threshold-Shock Models

    • Axel Lehmann

    Pages 286-298

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.

• Estimator
• Likelihood
• Radiologieinformationssystem
• Truncated Data
• best fit
• data analysis
• statistics

• 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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