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Carrying out streamlined routine data analyses with reports for observational studies: introduction to a series of generic SAS ® macros.


ABSTRACT: For a typical medical research project based on observational data, sequential routine analyses are often essential to comprehend the data on hand and to draw valid conclusions.  However, generating reports in SAS ® for routine analyses can be a time-consuming and tedious process, especially when dealing with large databases with a massive number of variables in an iterative and collaborative research environment. In this work, we present a general workflow of research based on an observational database and a series of SAS ® macros that fits this framework, which covers a streamlined data analyses and produces journal-quality summary tables. The system is generic enough to fit a variety of research projects and enables researchers to build a highly organized and concise coding for quick updates as research evolves. The result reports promote communication in collaborations and will escort the research with ease and efficiency.

SUBMITTER: Liu Y 

PROVIDER: S-EPMC6567291 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Carrying out streamlined routine data analyses with reports for observational studies: introduction to a series of generic SAS <sup>®</sup> macros.

Liu Yuan Y   Nickleach Dana C DC   Zhang Chao C   Switchenko Jeffrey M JM   Kowalski Jeanne J  

F1000Research 20181219


For a typical medical research project based on observational data, sequential routine analyses are often essential to comprehend the data on hand and to draw valid conclusions.  However, generating reports in SAS <sup>®</sup> for routine analyses can be a time-consuming and tedious process, especially when dealing with large databases with a massive number of variables in an iterative and collaborative research environment. In this work, we present a general workflow of research based on an obs  ...[more]

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