Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
%ggBaseline: a SAS macro for analyzing and reporting baseline characteristics automatically in medical research
First author：Hong-Qiu Gu
Corresponding author：Hong-Qiu Gu
essential_information
- Person in charge：Hong-Qiu Gu
- Data Sources： OTHERS
- Number of papers：OTHERS20190107
- Published time：2018-10-27
2018-10-27
Published articles
Journal：Ann Transl Med
Publication type: Original Contributions
IF(IF): 3.932
PMID: 30364007 Link To Pubmed Full text Download
Background And Purpose
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.
Method
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.
Conclusion
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.
Main results
The macro provides optional parameters that allow for the full customization of desired demographic tables.