Access your data in an open manner

Abstract

AbstractData processing does not necessarily fit iterative techniques and this paper examines the difficulties inherent in the processing implied using SET and MERGE processing in SAS. When we need to access disparate data either across observations or across datasets, it can result in complex, unwieldy code. In these situations, we can use the functionality of the OPEN and associated functions to flexibly access data, producing well-structured and concise code. The paper gives an overview of the functions associated with OPEN and demonstrates their use with the identification of subjects who satisfy algorithmic SMQs.