GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials

Ying Zhang, John S. Preisser, Fan Li, Elizabeth Turner, Mark Toles, Paul J. Rathouz. GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials. Computer Methods and Programs in Biomedicine, 230:107362, March 2023. [doi]

@article{ZhangPLTTR23,
  title = {GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials},
  author = {Ying Zhang and John S. Preisser and Fan Li and Elizabeth Turner and Mark Toles and Paul J. Rathouz},
  year = {2023},
  month = {March},
  doi = {10.1016/j.cmpb.2023.107362},
  url = {https://doi.org/10.1016/j.cmpb.2023.107362},
  researchr = {https://researchr.org/publication/ZhangPLTTR23},
  cites = {0},
  citedby = {0},
  journal = {Computer Methods and Programs in Biomedicine},
  volume = {230},
  pages = {107362},
}