Name: Probability, Statistics and Modelling in Public Health
ISBN: 978-0-387-26023-5

Editors:

Mikhail Nikulin⁰,
Daniel Commenges¹,
Catherine Huber²

Mikhail Nikulin
1. Université Victor Segalin Bordeaux 2, France
  V. Steklov Mathematical Institute, Saint Petersburg, Russia
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Daniel Commenges
1. Université Victor Segalin Bordeaux 2, France
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Catherine Huber
1. Université René Descartes, Paris, France
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Marks the advances of statistical methods in public health
Includes supplementary material: sn.pub/extras

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Table of contents (32 papers)

Front Matter

Pages I-XXIV

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Forward and Backward Recurrence Times and Length Biased Sampling: Age Specific Models
- Marvin Zelen
Pages 1-11
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
Non-parametric estimation in degradation-renewal-failure models
- V. Bagdonavičius, A. Bikelis, V. Kazakevičius, M. Nikulin
Pages 23-36
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
Nonparametric Estimation for Failure Rate Functions of Discrete Time semi-Markov Processes
- Vlad Barbu, Nikolaos Limnios
Pages 53-72
Some recent results on joint degradation and failure time modeling
- Vincent Couallier
Pages 73-89
Estimation in a Markov chain regression model with missing covariates
- Dorota M. Dabrowska, Robert M. Elashoff, Donald L. Morton
Pages 90-118
Tests of Fit based on Products of Spacings
- Paul Deheuvels, Gérard Derzko
Pages 119-135
A Survival Model With Change-Point in Both Hazard and Regression Parameters
- Dupuy Jean-François
Pages 136-144
Mortality in Varying Environment
- M.S. Finkelstein
Pages 145-158
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
Three approaches for estimating prevalence of cancer with reversibility. Application to colorectal cancer
- C. Gras, J.P. Daurès, B. Tretarre
Pages 169-186
On statistics of inverse gamma process as a model of wear
- B.P. Harlamov
Pages 187-201
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
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
Estimation Of Density For Arbitrarily Censored And Truncated Data
- Catherine Huber, Valentin Solev, Filia Vonta
Pages 246-265
Statistical Analysis of Some Parametric Degradation Models
- Waltraud Kahle, Heide Wendt
Pages 266-279
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
Degradation-Threshold-Shock Models
- Axel Lehmann
Pages 286-298

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.

Keywords

Estimator
Likelihood
Radiologieinformationssystem
Truncated Data
best fit
data analysis
statistics

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

Bibliographic Information

Book Title: Probability, Statistics and Modelling in Public Health
Editors: Mikhail Nikulin, Daniel Commenges, Catherine Huber
DOI: https://doi.org/10.1007/b136588
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Hardcover ISBN: 978-0-387-26022-8Published: 11 October 2005
Softcover ISBN: 978-1-4419-3856-5Published: 29 October 2010
eBook ISBN: 978-0-387-26023-5Published: 10 February 2006
Edition Number: 1
Number of Pages: XXIV, 480
Topics: Biostatistics

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Table of contents (32 papers)

Front Matter

About this book

Keywords

Editors and Affiliations

Université Victor Segalin Bordeaux 2, France

V. Steklov Mathematical Institute, Saint Petersburg, Russia

Université René Descartes, Paris, France

Bibliographic Information

Buying options