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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
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Introduces parametric proportional hazards models with baseline distributions like the Weibull, Gompertz, Lognormal, and Piecewise constant hazard distributions, in addition to traditional Cox regression
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Presents mathematical details as well as technical material in an appendix
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Includes real examples with applications in demography, econometrics, and epidemiology
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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.
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Recognition of the importance of maternal medicine is now reflected in the content of the MRCOG exam, core training and higher training in both obstetrics and medicine. This book approaches obstetric medicine from the point of view of real patients and clinical scenarios as well as model answers to exam questions. The book will be invaluable... | | Introducing 3ds Max 9: 3D for BeginnersLet Your Imagination Run Wild
Video game and feature-film artists have used 3ds Max to create Halo 2, King Kong, Myst V, and more. Now you can harness this popular animation software with the clear, step-by-step instruction in this easy-to-follow guide.
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