UID:
almahu_9949385557802882
Format:
1 online resource (1 volume) :
,
illustrations (black and white)
Edition:
Second edition.
ISBN:
9780429503764
,
0429503768
,
9780429994876
,
0429994877
,
9780429994883
,
0429994885
,
9780429994869
,
0429994869
Series Statement:
Chapman & Hall/CRC the R series
Content:
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 datausing Cox regression. Parametric proportional hazards models, including the Weibull, Exponential, Extreme Value, andGompertz 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 creatingperiod 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 formost examples in the book. A dedicated home page for the book at http://ehar.se/r/ehar2 This substantial update to this popular book remains an excellent resource for researchers and practitionersof applied event history analysis and survival analysis. It can be used as a text for a course for graduatestudents or for self-study.
Note:
Previous edition: Boca Raton: CRC, 2012.
Additional Edition:
Print version: Broström, Göran. Event history analysis with R. Boca Raton : Chapman & Hall/CRC, 2021 ISBN 9781138587717
Language:
English
Keywords:
Electronic books.
DOI:
10.1201/9780429503764
URL:
https://www.taylorfrancis.com/books/9780429503764
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