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Event History Analysis : a Process Point of View.
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Dordrecht :
Springer,
2008.
|
| Colección: | Statistics for biology and health.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn781375040 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
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| 008 | 110609s2008 ne o 000 0 eng | ||
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| 020 | |a 9780387685601 | ||
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| 029 | 1 | |a DKDLA |b 820120-katalog:999913211705765 | |
| 035 | |a (OCoLC)781375040 |z (OCoLC)437232548 | ||
| 050 | 4 | |a QA274.A25 2008 | |
| 082 | 0 | 4 | |a 519.23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Aalen, Odd O. | |
| 245 | 1 | 0 | |a Event History Analysis : |b a Process Point of View. |
| 260 | |a Dordrecht : |b Springer, |c 2008. | ||
| 300 | |a 1 online resource (549 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Statistics for Biology and Health | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 505 | 8 | |a A Markov processes and the product-integralB Vector-valued counting processes, martingales and stochastic integrals; References; Author index; Index; com. | |
| 520 | |a 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. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Mathematics. | |
| 650 | 2 | |a Mathematics | |
| 650 | 6 | |a Mathématiques. | |
| 650 | 7 | |a Mathematics |2 fast | |
| 700 | 1 | |a Borgan, Ørnulf. | |
| 700 | 1 | |a Gjessing, Håkon K. | |
| 758 | |i has work: |a Event History Analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGwXT6xGgmmwvhJjRCykym |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Aalen, Odd O. |t Event History Analysis : A Process Point of View. |d Dordrecht : Springer, ©2008 |z 9780387202877 |
| 830 | 0 | |a Statistics for biology and health. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=364078 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL364078 | ||
| 994 | |a 92 |b IZTAP | ||