@book{stokes_2012,
  title = {Categorical data analysis using SAS},
  author = {Maura E. Stokes and Charles S. Davis and Gary G. Koch},
  year = 2012,
  publisher = {SAS Institute},
  edition = "third"
}

@InProceedings{kowalewski_2023,
    author = {Kowalewski, E. K. and Weideman, A. M. K. and Koch, G. G.},
    booktitle = {SouthEast SAS Users Group 2023 Conference Proceedings},
    title = {SAS Macro for Randomization-Based Methods for Covariance and Stratified Adjustment of Win Ratios and Win Odds for Ordinal Outcomes},
    year = 2023,
    publisher = {SESUG},
}

@incollection{koch_1989,
 author = {Gary G. Koch and Gregory J. Carr and Ingrid A. Amara and Maura E. Stokes and Thomas J. Uryniak},
 editor = {Donald A. Berry},
 title = {Categorical Data Analysis},
 booktitle = {Statistical Methodology in the Pharmaceutical Sciences},
 publisher = {CRC Press},
 year =  1989,
 pages = {389-473}
}

@article{stanish_1978,
 ISSN = {0006341X, 15410420},
 URL = {http://www.jstor.org/stable/2530021},
 abstract = {This paper presents an analysis of a longitudinal multi-center clinical trial with missing data. It illustrates the application, the appropriateness, and the limitations of a straightforward ratio estimation procedure for dealing with multivariate situations in which missing data occur at random and with small probability. The parameter estimates are computed via matrix operators such as those used for the generalized least squares analysis of categorical data. Thus, the estimates may be conveniently analyzed by asymptotic regression methods within the same computer program which computes the estimates, provided that the sample size is sufficiently large.},
 author = {W. M. Stanish and D. B. Gillings and G. G. Koch},
 journal = {Biometrics},
 number = {2},
 pages = {305--317},
 publisher = {[Wiley, International Biometric Society]},
 title = {An Application of Multivariate Ratio Methods for the Analysis of a Longitudinal Clinical Trial with Missing Data},
 urldate = {2023-11-30},
 volume = {34},
 year = {1978}
}
