{"product_id":"survival-analysis-using-sas-a-practical-guide-second-edition-hardcover","title":"Survival Analysis Using SAS: A Practical Guide, Second Edition - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePaul D. Allison\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eEasy to read and comprehensive, \u003ci\u003eSurvival Analysis Using SAS: A Practical Guide, Second Edition\u003c\/i\u003e, by Paul Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9. Although the book assumes only a minimal knowledge of SAS, more experienced users will learn new techniques of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, ensuring that even the uninitiated become sophisticated users of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered in survival analysis books, such as time-dependent covariates, competing risks, and repeated events. \u003c\/p\u003e\u003cp\u003e \u003ci\u003eSurvival Analysis Using SAS: A Practical Guide, Second Edition\u003c\/i\u003e, has been thoroughly updated for SAS 9, and all figures are presented using ODS Graphics. This new edition also documents major enhancements to the STRATA statement in the LIFETEST procedure; includes a section on the PROBPLOT command, which offers graphical methods to evaluate the fit of each parametric regression model; introduces the new BAYES statement for both parametric and Cox models, which allows the user to do a Bayesian analysis using MCMC methods; demonstrates the use of the counting process syntax as an alternative method for handling time-dependent covariates; contains a section on cumulative incidence functions; and describes the use of the new GLIMMIX procedure to estimate random-effects models for discrete-time data. \u003c\/p\u003e\u003cp\u003e This book is part of the SAS Press program.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003ePaul D. Allison is Professor of Sociology at the University of Pennsylvania, and President of Statistical Horizons LLC. He is the author of\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 336\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 11.02 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 20, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47705255018755,"sku":"9781635269086","price":161.43,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0588\/9310\/7359\/files\/T0VvTk4wdndRK05QaFBYbXo1SmVNZz09.webp?v=1770112416","url":"https:\/\/annizon.com\/en-at\/products\/survival-analysis-using-sas-a-practical-guide-second-edition-hardcover","provider":"annizon.com","version":"1.0","type":"link"}