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Beschreibung
This is the second edition of a practical book on using R for survival and event history analysis. There is an emphasis on applying the methods to problems from the social sciences through detailed real-world examples. The book has been updated with new chapters on reproducible research and register-based methods, and updates throughout.
This is the second edition of a practical book on using R for survival and event history analysis. There is an emphasis on applying the methods to problems from the social sciences through detailed real-world examples. The book has been updated with new chapters on reproducible research and register-based methods, and updates throughout.
Über den Autor

Göran Broström is professor emeritus of Statistics at the Centre for Demographic and Ageing Research, Umeå University. He has a PhD in mathematical statistics from Umeå University (1979). He is the author of two R packages, eha and glmmML, available on CRAN.

Inhaltsverzeichnis
1. Event History and Survival Data
2. Single sample data
3. Proportional Hazards and Cox Regression
4. Explanatory Variables and Regression
5. Poisson Regression
6. More on Cox Regression
7. Register-Based Survival Data Models
8. Parametric Models
9. Multivariate survival models
10. Causality and Matching
11. Competing risks models
Appendix A. Basic statistical concepts
Appendix B. Survival distributions
Appendix C. A brief introduction to R
Appendix D. Survival packages in R
Details
Erscheinungsjahr: 2024
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032123202
ISBN-10: 1032123206
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Broström, Göran
Auflage: 2. Auflage
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, D-80331 München, gpsr@taylorandfrancis.com
Maße: 234 x 156 x 18 mm
Von/Mit: Göran Broström
Erscheinungsdatum: 29.01.2024
Gewicht: 0,521 kg
Artikel-ID: 128298369