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Survival and Event History Analysis - A Process Point of View (Hardcover, 2008 ed.)
Loot Price: R4,582
Discovery Miles 45 820
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Survival and Event History Analysis - A Process Point of View (Hardcover, 2008 ed.)
Series: Statistics for Biology and Health
Expected to ship within 12 - 17 working days
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The aim of this book is to bridge the gap between standard textbook
models and a range of models where the dynamic structure of the
data manifests itself fully. The common denominator of such models
is stochastic processes. The authors show how counting processes,
martingales, and stochastic integrals fit very nicely with censored
data. Beginning with standard analyses such as Kaplan-Meier plots
and Cox regression, the presentation progresses to the additive
hazard model and recurrent event data. Stochastic processes are
also used as natural models for individual frailty; they allow
sensible interpretations of a number of surprising artifacts seen
in population data. The stochastic process framework is naturally
connected to causality. The authors show how dynamic path analyses
can incorporate many modern causality ideas in a framework that
takes the time aspect seriously. To make the material accessible to
the reader, a large number of practical examples, mainly from
medicine, are developed in detail. Stochastic processes are
introduced in an intuitive and non-technical manner. The book is
aimed at investigators who use event history methods and want a
better understanding of the statistical concepts. It is suitable as
a textbook for graduate courses in statistics and biostatistics.
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