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Dynamic prediction in clinical survival analysis
"In the last twenty years, dynamic prediction models have been extensively used to monitor patient prognosis in survival analysis. Written by one of the pioneers in the area, this book synthesizes these developments in a unified framework. It covers a range of models, including prognostic and d...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Fla. :
CRC Press,
2012.
|
| Colección: | Monographs on statistics and applied probability ;
123. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | FINmELB | ||
| 006 | m o d | | ||
| 007 | cr cn||||||||| | ||
| 008 | 110923s2012 flua sb 000 0 eng d | ||
| 010 | |z 2011039592 | ||
| 020 | |z 9781439835333 (hardback : alk. paper) | ||
| 020 | |z 9781439835432 (e-book) | ||
| 035 | |a (OCoLC)755056532 | ||
| 040 | |a FINmELB |c FINmELB |d FINmELB | ||
| 050 | 4 | |a QH323.5 |b .H68 2012 | |
| 082 | 0 | 4 | |a 615.580724 |2 23 |
| 100 | 1 | |a Houwelingen, J. C. van. | |
| 245 | 1 | 0 | |a Dynamic prediction in clinical survival analysis |h [electronic resource] / |c Hans C. van Houwelingen, Hein Putter. |
| 260 | |a Boca Raton, Fla. : |b CRC Press, |c 2012. | ||
| 300 | |a xvi, 231 p. : |b ill. | ||
| 490 | 1 | |a Monographs on statistics and applied probability ; |v 123 | |
| 500 | |a "A Chapman & Hall book." | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a The special nature of survival data -- Cox regression model -- Measuring the predictive value of a Cox model -- Calibration and revision of Cox models -- Mechanisms explaining violation of the Cox model -- Non-proportional hazards models -- Dealing with non-proportional hazards -- Dynamic predictions using biomarkers -- Dynamic prediction in multi-state models -- Dynamic prediction in chronic disease -- Penalized Cox models -- Dynamic prediction based on genomic data. | |
| 520 | |a "In the last twenty years, dynamic prediction models have been extensively used to monitor patient prognosis in survival analysis. Written by one of the pioneers in the area, this book synthesizes these developments in a unified framework. It covers a range of models, including prognostic and dynamic prediction of survival using genomic data and time-dependent information. The text includes numerous examples using real data that is taken from the authors collaborative research. R programs are provided for implementing the methods"--Provided by publisher. | ||
| 588 | |a Description based on metadata supplied by the publisher and other sources. | ||
| 590 | |a Electronic reproduction. Santa Fe, Arg.: elibro, 2020. Available via World Wide Web. Access may be limited to eLibro affiliated libraries. | ||
| 650 | 0 | |a Proportional hazards models. | |
| 650 | 0 | |a Survival analysis (Biometry) | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Putter, Hein. | |
| 797 | 2 | |a elibro, Corp. | |
| 830 | 0 | |a Monographs on statistics and applied probability ; |v 123. | |
| 856 | 4 | 0 | |u https://elibro.uam.elogim.com/ereader/bidiuam/158188 |z Texto completo |