Biomedical And Social Science Researchers Who Want To Analyze Survival Data With Sas Will Find Just What They Need With This Easytoread And Comprehensive Guide. 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. 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. The Main Topics Presented Include Censoring, Survival Curves, Kaplanmeier Estimation, Accelerated Failure Time Models, Cox Regression Models, And Discretetime Analysis. Also Included Are Topics Not Usually Covered, Such As Timedependent Covariates, Competing Risks, And Repeated Events.
