国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

《国家中心数据管理与共享系统操作说明书 —— 研究者部分》

%ggBaseline: a SAS macro for analyzing and reporting baseline characteristics automatically in medical research

第一作者：Hong-Qiu Gu

通讯作者：Hong-Qiu Gu

Demographic tables; analyzing and reporting; SAS m

基本信息

  • 负责人：Hong-Qiu Gu
  • 数据来源： OTHERS
  • 论文编号：OTHERS20190107
  • 发表时间：2018-10-27

2018-10-27

已发表文章

发表杂志：Ann Transl Med

发表类型: Original Contributions

影响因子(IF): 3.932

PMID: 30364007 Pubmed原文链接 全文下载

主要研究背景及目的

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.

方法

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.

结论

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.

主要结果

The macro provides optional parameters that allow for the full customization of desired demographic tables.