Handbook of SAS DATA Step Programming

A biostatistician at the City of Hope National Medical Center in California's Los Angeles County, Li also teaches part time and gives seminars on DATA step programming and statistical analysis using the proprietary SAS software. Here he explains how to use that feature of the software to manipulate and management data to make it amenable to statistical analysis. After introducing SAS, he covers creating variables conditionally, how the DATA step works, BY-group processing, writing loops, array processing, combining data sets, data input and output, data step functions, and useful SAS procedures. Chapter-end exercises are provided. Novice programmers with minimum SAS background should read the book cover to cover, he says. Annotation c2013 Book News, Inc., Portland, OR (booknews.com)

Arthur Li is a biostatistician at the City of Hope National Medical Center in Los Angeles County, California. He is also a part-time statistical programming instructor at the University of Southern California, where he received an MS in biostatistics. He often gives presentations and seminars on DATA step programming and statistical analysis using SAS software at SAS conferences.