Description |
1 online resource (549 pages) |
Series |
Statistics for Biology and Health |
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Statistics for biology and health.
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Contents |
Survival and Event History Analysis; Preface; 1 An introduction to survival and event history analysis; 2 Stochastic processes in event history analysis; 3 Nonparametric analysis of survival and event history data; 4 Regression models; 5 Parametric counting process models; 6 Unobserved heterogeneity: The odd effects of frailty; 7 Multivariate frailty models; 8 Marginal and dynamic models for recurrent events and clustered survival data; 9 Causality; 10 First passage time models: Understanding the shape of the hazard rate; 11 Diffusion and Lévy process models for dynamic frailty |
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A Markov processes and the product-integralB Vector-valued counting processes, martingales and stochastic integrals; References; Author index; Index; com |
Summary |
Demonstrates how counting processes, martingales, and stochastic integrals fit nicely with censored data. This book shows how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously. It includes examples from medicine. It is intended for investigators who use event history methods |
Notes |
Print version record |
Subject |
Mathematics.
|
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Mathematics
|
|
Mathematics
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Form |
Electronic book
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Author |
Borgan, Ørnulf.
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Gjessing, Håkon K.
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ISBN |
9780387685601 |
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038768560X |
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