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Zusatztext "This book in The R Series from Chapman & Hall acts much as a companion to the R package eha by the same author. ? If one wants to analyse such data using R! then the book is well worthwhile. Although it is written more from the point of view of a reader comfortable in using R [and] wanting to learn more about demographic data! it also offers something for the demographer looking to extend the scope of their analyses. ? the depth of treatment is about right to form the core of a lecture course ?"-Mark Bebbington! Australian & New Zealand Journal of Statistics! 2013 Informationen zum Autor Göran Broström is a professor emeritus of statistics in the Centre for Population Studies at Umeå University in Sweden. "This book in The R Series from Chapman & Hall acts much as a companion to the R package eha by the same author. ... If one wants to analyse such data using R, then the book is well worthwhile. Although it is written more from the point of view of a reader comfortable in using R [and] wanting to learn more about demographic data, it also offers something for the demographer looking to extend the scope of their analyses. ... the depth of treatment is about right to form the core of a lecture course ..." -Mark Bebbington, Australian & New Zealand Journal of Statistics, 2013 Zusammenfassung 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. Inhaltsverzeichnis Event History and Survival Data. Single Sample Data. Cox Regression. Poisson Regression. More on Cox Regression. Parametric Models. Multivariate Survival Models. Competing Risks Models. Statistical Concepts. Survival Distributions. A Brief Introduction to R. Survival Packages in R. ...
