Название: Event History Analysis with R, 2nd EditionАвтор: Goran Brostrom
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 341
Размер: 10 Mb
Язык: English
With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and event history analysis using real-life examples. Since publication of the first edition, focus in the field has gradually shifted towards the analysis of large and complex datasets. This has led to new ways of tabulating and analysing tabulated data with the same precision and power as that of an analysis of the full data set. Tabulation also makes it possible to share sensitive data with others without violating integrity.
The new edition extends on the content of the first by both improving on already given methods and introducing new methods. There are two new chapters, Explanatory Variables and Regression, and Register- Based Survival Data Models. The book has been restructured to improve the flow, and there are significant updates to the computing in the supporting R package.
Features
• Introduction to survival and event history analysis and how to solve problems with incomplete data
using Cox regression.
• Parametric proportional hazards models, including the Weibull, Exponential, Extreme Value, and
Gompertz distributions.
• Parametric accelerated failure time models with the Lognormal, Loglogistic, Gompertz, Exponential,
Extreme Value, and Weibull distributions.
• Proportional hazards models for occurrence/exposure data, useful with tabular and register based data,
often with a huge amount of observed events.
• Special treatments of external communal covariates, selections from the Lexis diagram, and creating
period as well as cohort statistics.
• “Weird bootstrap” sampling suitable for Cox regression with small to medium-sized data sets.
• Supported by an R package (https://CRAN.R-project.org/package=eha), including code and data for
most examples in the book.