The GLMPOWER Procedure

References

  • Castelloe, J. M. (2000), “Sample Size Computations and Power Analysis with the SAS System,” in Proceedings of the Twenty-Fifth Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc.

  • Castelloe, J. M. and O’Brien, R. G. (2001), “Power and Sample Size Determination for Linear Models,” in Proceedings of the Twenty-Sixth Annual SAS Users Group International Conference, Cary, NC: SAS Institute Inc.

  • Hocking, R. R. (1985), The Analysis of Linear Models, Monterey, CA: Brooks/Cole.

  • Lenth, R. V. (2001), “Some Practical Guidelines for Effective Sample Size Determination,” American Statistician, 55, 187–193.

  • Muller, K. E. and Benignus, V. A. (1992), “Increasing Scientific Power with Statistical Power,” Neurotoxicology and Teratology, 14, 211–219.

  • Muller, K. E. and Peterson, B. L. (1984), “Practical Methods for Computing Power in Testing the Multivariate General Linear Hypothesis,” Computational Statistics and Data Analysis, 2, 143–158.

  • O’Brien, R. G. and Castelloe, J. M. (2007), “Sample-Size Analysis for Traditional Hypothesis Testing: Concepts and Issues,” in A. Dmitrienko, C. Chuang-Stein, and R. D’Agostino, eds., Pharmaceutical Statistics Using SAS: A Practical Guide, 237–271, Cary, NC: SAS Institute Inc.

  • O’Brien, R. G. and Muller, K. E. (1993), “Unified Power Analysis for t-Tests through Multivariate Hypotheses,” in L. K. Edwards, ed., Applied Analysis of Variance in Behavioral Science, 297–344, New York: Marcel Dekker.

  • O’Brien, R. G. and Shieh, G. (1992), “Pragmatic, Unifying Algorithm Gives Power Probabilities for Common F Tests of the Multivariate General Linear Hypothesis,” Poster presented at the American Statistical Association Meetings, Boston, Statistical Computing Section. Also, paper in review, downloadable in PDF form from http://www.bio.ri.ccf.org/UnifyPow.