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Duke SSRI EHDi Data Management Workshop, by Lorrie Schmid, April 2015
This workshop, conducted across three sessions, offers an overview of the SAS programming language, focusing on data management activities. Session 1 is a general overview of SAS with a focus on major SAS components (Program Editor, Log and Output), core concepts of SAS programming (DATA and PROC), and issues of importing/exporting, reading, and writing SAS datasets. Session 2 focuses on data modification, including variable creation and variable recoding, as well as adding to and subsettting from particular datasets. Key SAS statements described include: ATTRIB, SET, WHERE, IF-THEN, MERGE. Session 3 focuses on data analysis, specifically descriptive analyses typically used in data management. Key SAS statements described include: PROC CONTENTS, PROC MEANS, and PROC FREQ. Together, these sessions allow researchers to learn basic data management processes using the SAS statistical system.