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商品描述
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.
商品描述(中文翻譯)
《使用 R 进行事件历史分析》强调社会科学应用,以实际案例介绍了生存分析和事件历史分析的基础知识。书中尽量减少数学细节,涵盖了关键主题,包括离散和连续时间数据、参数比例风险和加速失效时间。
特点包括:
- 引入了具有基线分布(如 Weibull、Gompertz、Lognormal 和分段常数风险分布)的参数比例风险模型,除了传统的 Cox 回归模型。
- 在附录中提供了数学细节和技术材料。
- 包含了人口统计学、计量经济学和流行病学等领域的实际应用示例。
- 提供了专用的 R 包“eha”,包括在 Lexis 图中进行切割、创建共同协变量和创建时期统计数据等特殊处理。
《使用 R 进行事件历史分析》是一本非常需要的入门指南,对于应用事件历史和生存分析的学生和从业人员来说,是一本教学优秀的资源。