Purpose
Introduce different summary tables under group stratification
Description
The SAS file walks through data analysis for a demonstration dataset
using three SAS macros: %DSTMAC (Fenchel, McPhail, and VanDyke 2011),
%UNI_CAT (Liu et al. 2019), and %ggBaseline (Gu et al. 2018). Two
variables (“trt” and “sex”) are used as stratification variables. In
summary statistics, means ± standard deviations are calculated for
continuous variables and N (%) are produced for categorical variables.
Statistical tests include:
- Parametric Test: T-Test/ANOVA for continuous variables
- Parametric Test: Likelihood Ratio Chi-Square Test for categorical variables
- Non-parametric Test: Kruskal-Wallis Test for continuous variables
- Non-parametric Test: Fisher’s Exact Test for categorical variables
Dataset
PBC
Date
09/24/2019
Demonstrated SAS Version
SAS 9.4
Authors
Pei-Shan Yen, Nairita Ghosal, Yi-Fan Chen
Biostatistics Core, Center for Clinical and Translational Science
University of Illinois at Chicago
Fenchel, Matthew C., Gary L. McPhail, and Rhonda D. VanDyke. 2011. “A Lazy Programmer’s Macro for Descriptive Statistics’ Tables.” In MidWest SAS Users Group. https://www.mwsug.org/proceedings/2011/stats/MWSUG-2011-SA19.pdf.
Gu, Hong-Qiu, Dao-Ji Li, Chelsea Liu, and Zhen-Zhen Rao. 2018. “%ggBaseline: a SAS macro for analyzing and reporting baseline characteristics automatically in medical research.” Annals of Translational Medicine 6 (August): 326–26. https://doi.org/10.21037/atm.2018.08.13.
Liu, Yuan, Dana C. Nickleach, Chao Zhang, Jeffrey M. Switchenko, and Jeanne Kowalski. 2019. “Carrying Out Streamlined Routine Data Analyses with Reports for Observational Studies: Introduction to a Series of Generic SAS ®Macros.” F1000Research 7. https://doi.org/10.12688/f1000research.16866.2.