Event History Analysis with R

Nonfiction, Science & Nature, Mathematics, Statistics, Health & Well Being, Psychology
Cover of the book Event History Analysis with R by Göran Broström, CRC Press
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Author: Göran Broström ISBN: 9781498786607
Publisher: CRC Press Publication: April 27, 2016
Imprint: CRC Press Language: English
Author: Göran Broström
ISBN: 9781498786607
Publisher: CRC Press
Publication: April 27, 2016
Imprint: CRC Press
Language: English

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times.

Features

  • Introduces parametric proportional hazards models with baseline distributions like the Weibull, Gompertz, Lognormal, and Piecewise constant hazard distributions, in addition to traditional Cox regression
  • Presents mathematical details as well as technical material in an appendix
  • Includes real examples with applications in demography, econometrics, and epidemiology
  • Provides a dedicated R package, eha, containing special treatments, including making cuts in the Lexis diagram, creating communal covariates, and creating period statistics

A much-needed primer, Event History Analysis with R is a didactically excellent resource for students and practitioners of applied event history and survival analysis.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times.

Features

A much-needed primer, Event History Analysis with R is a didactically excellent resource for students and practitioners of applied event history and survival analysis.

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