%0 Conference Paper %1 Fain2005 %A Fain, T %A Gareleck, C %D 2005 %J SUGI 30 Proceedings %K DATAANALYSIS REPEATEDMEASURES SAS URL %T Using SAS to process repeated measures data %U http://www2.sas.com/proceedings/sugi30/254-30.pdf %X Data that contain multiple observations per case are called "repeated measures data." Common examples are medical records, credit card charges, and airline travel history. This tutorial will discuss ways to use the SAS DATA step to handle repeated measures data, in order to generate summary data for reports or for submission to analytic techniques (e.g., regression). We will address both horizontal repeated measures (using arrays) and vertical repeated measures (using RETAIN, FIRST., LAST., OUTPUT, and other SAS statements and options), as well as how to convert horizontally structured data to vertically structured data and vice versa.

@inproceedings{Fain2005, abstract = {Data that contain multiple observations per case are called "repeated measures data." Common examples are medical records, credit card charges, and airline travel history. This tutorial will discuss ways to use the SAS DATA step to handle repeated measures data, in order to generate summary data for reports or for submission to analytic techniques (e.g., regression). We will address both horizontal repeated measures (using arrays) and vertical repeated measures (using RETAIN, FIRST., LAST., OUTPUT, and other SAS statements and options), as well as how to convert horizontally structured data to vertically structured data and vice versa.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Fain, T and Gareleck, C}, biburl = {https://www.bibsonomy.org/bibtex/24022689c5c01168be7ee5df2621f6f99/jepcastel}, interhash = {42aa1f7a2d6f73e5d694a0876ef39d51}, intrahash = {4022689c5c01168be7ee5df2621f6f99}, journal = {SUGI 30 Proceedings}, keywords = {DATAANALYSIS REPEATEDMEASURES SAS URL}, note = {3889<m:linebreak></m:linebreak>Anàlisi de dades; Dades longitudinals}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {Using SAS to process repeated measures data}, url = {http://www2.sas.com/proceedings/sugi30/254-30.pdf}, year = 2005 }