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- DescriptionModern survival analysis and more general event history analysis may be effectively handled within the mathematical framework of counting processes. This book presents this theory, which has been the subject of intense research activity over the past 15 years. The exposition of the theory is integrated with careful presentation of many practical examples, drawn almost exclusively from the authors'own experience, with detailed numerical and graphical illustrations. Although Statistical Models Based on Counting Processes may be viewed as a research mograph for mathematical statisticians and biostatisticians, almost all the methods are given in concrete detail for use in practice by other mathematically oriented researchers studying event histories (demographers, ecometricians, epidemiologists, actuarial mathematicians, reliability engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.
- Author(s)Niels Keiding,Ornulf Borgan,Per Kragh Andersen,Richard D. Gill
- PublisherSpringer-Verlag New York Inc.
- Date of Publication20/12/1996
- Series TitleSpringer Series in Statistics
- Place of PublicationNew York, NY
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Notebiography
- Weight1079 g
- Width155 mm
- Height235 mm
- Spine39 mm
- Format DetailsTrade paperback (US)
- Edition Statement1st ed. 1993. Corr. 4th printing 1996
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