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Survival and Event History Analysis : A Process Point of View
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
An introduction to survival and event history analysis
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Chapter 2
Stochastic processes in event history analysis
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Chapter 3
Nonparametric analysis of survival and event history data
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Chapter 4
Regression models
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Chapter 5
Parametric counting process models
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Chapter 6
Unobserved heterogeneity: The odd effects of frailty
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Chapter 7
Multivariate frailty models
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Chapter 8
Marginal and dynamic models for recurrent events and clustered survival data
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Chapter 9
Causality
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Chapter 10
First passage time models: Understanding the shape of the hazard rate
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Chapter 11
Diffusion and Lévy process models for dynamic frailty
Overall attention for this book and its chapters
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Mentioned by
blogs
1
blog
twitter
6
X users
syllabi
1
institution with syllabi
wikipedia
1
Wikipedia page
Citations
dimensions_citation
828
Dimensions
Readers on
mendeley
205
Mendeley
Book overview
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
Summary
Blogs
X
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
George Mason University
3
Business