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

Yuan Liu, Dana C. Nickleach, Chao Zhang, Jeffrey M. Switchenko, Jeanne Kowalski

Research output: Contribution to journalArticle

8 Citations (Scopus)

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.

Original languageEnglish (US)
Article number1955
JournalF1000Research
Volume7
DOIs
StatePublished - Jun 5 2019

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Observational Studies
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Biomedical Research
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Keywords

  • Good-Research-Practice
  • SAS® macros
  • collaborative
  • observational studies
  • reporting
  • streamlined data process

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)

Cite this

Carrying out streamlined routine data analyses with reports for observational studies : introduction to a series of generic SAS ®macros. / Liu, Yuan; Nickleach, Dana C.; Zhang, Chao; Switchenko, Jeffrey M.; Kowalski, Jeanne.

In: F1000Research, Vol. 7, 1955, 05.06.2019.

Research output: Contribution to journalArticle

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