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- W2904202474 abstract "<ns4:p>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<ns4:sup>® </ns4: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 observational database and a series of SAS<ns4:sup>®</ns4:sup> 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.</ns4:p>" @default.
- W2904202474 created "2018-12-22" @default.
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- W2904202474 date "2019-06-05" @default.
- W2904202474 modified "2023-10-16" @default.
- W2904202474 title "Carrying out streamlined routine data analyses with reports for observational studies: introduction to a series of generic SAS® macros" @default.
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- W2904202474 doi "https://doi.org/10.12688/f1000research.16866.2" @default.
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