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{ "item_title" : "Event History Analysis with R", "item_author" : [" Göran Broström "], "item_description" : "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.FeaturesIntroduces parametric proportional hazards models with baseline distributions like the Weibull, Gompertz, Lognormal, and Piecewise constant hazard distributions, in addition to traditional Cox regressionPresents mathematical details as well as technical material in an appendixIncludes real examples with applications in demography, econometrics, and epidemiologyProvides a dedicated R package, eha, containing special treatments, including making cuts in the Lexis diagram, creating communal covariates, and creating period statisticsA much-needed primer, Event History Analysis with R is a didactically excellent resource for students and practitioners of applied event history and survival analysis.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/43/983/164/1439831645_b.jpg", "price_data" : { "retail_price" : "99.95", "online_price" : "99.95", "our_price" : "99.95", "club_price" : "99.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Event History Analysis with R|Göran Broström

Event History Analysis with R

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781439831649
  • ISBN-10: 1439831645
  • Publisher: CRC Press
  • Publish Date: April 2012
  • Dimensions: 9.3 x 6.3 x 0.8 inches
  • Shipping Weight: 1.19 pounds
  • Page Count: 236

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