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2013?3?16? - See text ebook Survival Analysis Using SAS: A Practical Guide, Second Edition pdf by Paul D. Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS.
The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison’s Logistic Regression Using SAS®: Theory and Application, Second Edition, is for you! Whether lost on a mountain, trapped in your car by a blizzard or stranded in a desert, this book is designed as the ideal guide to survival.
This is a great compliment to anEasy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison is Professor of Sociology at the University of Pennsylvania and President of Statistical Horizons LLC.

Informal and nontechnical, this book both explains the theory behind logistic regression and looks at all the practical details involved in its implementation using SAS. Written by one of the SAS' leading survival experts, this book includes life-saving strategies and information on subjects such as camp craft, what to eat and how to obtain it, first aid and keeping healthy, moving through different terrain and signalling for rescue and surviving specific scenarios.
Keep it on your phone and you'll have it where ever you go - even ?w2013?3?16? - See text ebook Survival Analysis Using SAS: A Practical Guide, Second Edition pdf by Paul D. Written for the reader with a modest statistical background and minimal knowledge of SAS software, this book teaches many aspects of data input and manipulation. Have you thought about how you would deal with surviving out in the wild with nothing but the plants you could forage? Numerous examples of SAS code and output make this an eminently practical resource, ensuring that even the uninitiated becomes a sophisticated user of survival analysis. Paul has also written numerous statistical papers and published extensively on the subject of scientists’ careers. This book also explains the differences and similarities among the many generalizations of the logistic regression model.

The book is based on the training techniques of the Special Air Service, the world's most famous elite fighting force. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. The following topics are covered: binary logit analysis, logit analysis of contingency tables, multinomial logit analysis, ordered logit analysis, discrete-choice analysis with the PHREG procedure, and Poisson regression.
Also included are topics not usually covered, such as time-dependent covariates, competing risks, and repeated events. Other highlights include discussions on how to use the GENMOD procedure to do loglinear analysis and GEE estimation for longitudinal binary data. New for this edition is coverage of new features of the PHREG, LIFEREG, LIFETEST, LOGISTIC, and SURVEYLOGISTIC procedures as well as coverage of the new PROC GLIMMIX.

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