Mathematical Methods in Survival Analysis, Reliability and Quality of Life
Published on 21. January 2010
420 pages
978-0-470-39356-7 (ISBN)
Description
Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory. This title aims to redress this situation: it includes 21 chapters divided into four parts: Survival analysis, Reliability, Quality of life, and Related topics. Many of these chapters were presented at the European Seminar on Mathematical Methods for Survival Analysis, Reliability and Quality of Life in 2006.
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Catherine Huber | Nikolaos Limnios | Mounir Mesbah
Mathematical Methods in Survival Analysis, Reliability and Quality of Life
Book
06/2008
1st Edition
Wiley-ISTE
€244.50
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Persons
Catherine Huber is an Emeritus professorat Université de ParisRené Descartes. Her research activity concernsnonparametric and semi-parametric theory of statistics and theirapplications in biology and medicine. She has several publicationsin particular in the field of survival analysis. She is theco-author and co-editor of several books in the above fields.
Nikolaos Limnios is a professor at the University ofTechnology of Compiègne. His research and teaching activitiesconcern stochastic processes, statistical inference and theirapplications in particular in reliability and survival analysis. Heis the co-author and co-editor of several books in the abovefields.
Mounir Mesbah is a professor at theUniversité Pierre et Marie Curie, Paris 6. His researchand teaching activities concern statistics and its applications inhealth science and medicine (biostatistics). He is the co-author ofseveral articles and co-editor of several books in the abovefields.
Mikhail Nikulin is a professor at theUniversité Victor Segalen, and a member of the Instituteof Mathematics at Bordeaux. His research and teaching activitiesconcern mathematical statistics and its applications in reliabilityand survival analysis. He is the co-author and co-editor of severalbooks in the above fields.
Content
Part 1: Survival Analysis.
Chapter 1. Model selection for additive regression (E. Brunel and F. Comte).
Chapter 2. Nonparametric estimation of conditional probabilities, means and quantiles (O. Pons).
Chapter 3. Inference in transformation models for arbitrarily censored and truncated data (F. Vonta, C. Huber).
Chapter 4. Within-area distribution (L. Fortunato et al).
Chapter 5. Semi-Markov models in medicine (E. Mathieu-Dupas, C. Gras-Aygon, J-P. Daures).
Chapter 6. Bivariate Cox models (M. Broniatowski, A. Depire, Y. Ritov).
Chapter 7. A nonparametric estimation of a class of survival functionals
(B. Abdous).
Chapter 8. Approximate likelihood (H. Läuter).
Part 2: Reliability.
Chapter 9. Cox regression with missing values of a non-proportional covariate
(J-F. Dupuy, E. Leconte).
Chapter 10. Bayesian sampling plan for type-I censored exponential data
(C-T. Lin, Y-L. Huang, N. Balakrishnan).
Chapter 11. Reliability of stochastic dynamical systems applied to fatigue crack growth (J. Chiquet and N. Limnios).
Chapter 12. Statistical analysis of a redundant system with one stand-by unit
(V. Bagdonavicius and I. Masiulaityte, M. Nikulin).
Chapter 13. A modified test for the three-parameter Weibull distribution
(V. Voinov, R. Alloyarova and N. Pya).
Chapter 14. Accelerated life testing when the hazard rate function has cup shape (V. Bagdonavicius, L. Clerjaud, M. Nikulin).
Chapter 15. Software reliability (J. Ledoux).
Part 3: Quality of Life.
Chapter 16. Latent Markov Rasch model (F. Bartolucci, F. Pennoni, M. Lupparelli).
Chapter 17. Selection of items fitting a Rasch model (J-B. Hardouin, M. Mesbah).
Chapter 18. Longitudinal latent regression modeling (S. Bacci).
Chapter 19. Empirical validation of a quality of life instrument (J. Chwalow et al).
Part 4: Related Topics.
Chapter 20. Deterministic modeling of the size of the HIV/AIDS epidemic in Cuba (R. Lounes, H. de Arazoza, Y. H.Hsieh, J. Joanes).
Chapter 21. Some probabilistic models useful in sport sciences
(L. Gerville-Réache, M. Nikulin, S. Orazio, N. Paris, V. Rosa).
List of Authors.
Index.
