{"product_id":"9781032123202-event-history-analysis-with-r","title":"Event History Analysis with R","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003e\u003cp\u003eThis is the second edition of a practical book on using R for survival and event history analysis. There is an emphasis on applying the methods to problems from the social sciences through detailed real-world examples. The book has been updated with new chapters on reproducible research and register-based methods, and updates throughout.\u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003eWith 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.\u003c\/p\u003e\n\u003cp\u003eThe 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, \u003cem\u003eExplanatory Variables and Regression\u003c\/em\u003e, and \u003cem\u003eRegister- Based Survival Data Models\u003c\/em\u003e. The book has been restructured to improve the flow, and there are significant updates to the computing in the supporting R package.\u003c\/p\u003e\n\u003cp\u003eFeatures\u003c\/p\u003e\n\u003cp\u003e• Introduction to survival and event history analysis and how to solve problems with incomplete data\u003cbr\u003eusing Cox regression.\u003cbr\u003e• Parametric proportional hazards models, including the Weibull, Exponential, Extreme Value, and\u003cbr\u003eGompertz distributions.\u003cbr\u003e• Parametric accelerated failure time models with the Lognormal, Loglogistic, Gompertz, Exponential,\u003cbr\u003eExtreme Value, and Weibull distributions.\u003cbr\u003e• Proportional hazards models for occurrence\/exposure data, useful with tabular and register based data,\u003cbr\u003eoften with a huge amount of observed events.\u003cbr\u003e• Special treatments of external communal covariates, selections from the Lexis diagram, and creating\u003cbr\u003eperiod as well as cohort statistics.\u003cbr\u003e• “Weird bootstrap” sampling suitable for Cox regression with small to medium-sized data sets.\u003cbr\u003e• Supported by an R package (https:\/\/CRAN.R-project.org\/package=eha), including code and data for\u003cbr\u003emost examples in the book.\u003cbr\u003e• A dedicated home page for the book at http:\/\/ehar.se\/r\/ehar2\u003c\/p\u003e\n\u003cp\u003eThis substantial update to this popular book remains an excellent resource for researchers and practitioners\u003cbr\u003eof applied event history analysis and survival analysis. It can be used as a text for a course for graduate\u003cbr\u003estudents or for self-study.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":41513883467873,"sku":"9781032123202","price":58.85,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_29641942.jpg?v=1760339865","url":"https:\/\/www.rarewaves.com\/products\/9781032123202-event-history-analysis-with-r","provider":"Rarewaves.com","version":"1.0","type":"link"}