%ggBaseline: a SAS macro for analyzing and reporting baseline characteristics automatically in medical research
Hongqiu Gua b✉, Daoji Lic, Chelsea Liud, Zhenzhen Raoe
- aChina National Clinical Research Center for Neurological Diseases, Beijing 100050, China
- bTiantan Clinical Trial and Research Center for Stroke, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China
- cDepartment of Information Systems and Decision Sciences, California State University, Fullerton, CA, USA
- dJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
- eInstitute of Molecular Medicine, Yingjie Center, Peking University, Beijing 100080, China
- ✉Corresponding author
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Abstract
Demographic tables are widely used to report baseline characteristics in medical research. However, the traditional copy-paste production method is time-consuming and frequently generates typing errors. Current available statistical tools are still far away from ideal, because they are difficult to understand and they lack flexibility. A user-friendly, dynamic, and flexible tool is needed for researchers to automate the creation of demographic tables. In this paper, we introduce a SAS macro, %ggBaseline, that automatically analyzing and reporting baseline characteristics with the final production of publication-quality demographic tables. The macro provides optional parameters that allow for the full customization of desired demographic tables. Since %ggBaseline allows for the quick creation of reproducible and fully customizable tables, it can be beneficial to academics, clinical trials and medical research studies by making the presentation and formatting of results faster and more efficient.
TL;DRA SAS macro, %ggBaseline, is introduced that automatically analyzing and reporting baseline characteristics with the final production of publication-quality demographic tables, and provides optional parameters that allow for the full customization of desired demographic tables. (Semantic Scholar)

