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POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models

Author

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  • Johnson, Jacqueline L.
  • Muller, Keith E.
  • Slaughter, James C.
  • Gurka, Matthew J.
  • Gribbin, Matthew J.
  • Simpson, Sean L.

Abstract

The POWERLIB SAS/IML software provides convenient power calculations for a wide range of multivariate linear models with Gaussian errors. The software includes the Box, Geisser-Greenhouse, Huynh-Feldt, and uncorrected tests in the "univariate" approach to repeated measures (UNIREP), the Hotelling Lawley Trace, Pillai-Bartlett Trace, and Wilks Lambda tests in "multivariate" approach (MULTIREP), as well as a limited but useful range of mixed models. The familiar univariate linear model with Gaussian errors is an important special case. For estimated covariance, the software provides confidence limits for the resulting estimated power. All power and confidence limits values can be output to a SAS dataset, which can be used to easily produce plots and tables for manuscripts.

Suggested Citation

  • Johnson, Jacqueline L. & Muller, Keith E. & Slaughter, James C. & Gurka, Matthew J. & Gribbin, Matthew J. & Simpson, Sean L., 2009. "POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i05).
    • Handle: RePEc:jss:jstsof:v:030:i05
    DOI: http://hdl.handle.net/10.18637/jss.v030.i05
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    References listed on IDEAS

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    1. Muller, Keith E. & Peterson, Bercedis L., 1984. "Practical methods for computing power in testing the multivariate general linear hypothesis," Computational Statistics & Data Analysis, Elsevier, vol. 2(2), pages 143-158, August.
    2. Lenth R. V., 2001. "Some Practical Guidelines for Effective Sample Size Determination," The American Statistician, American Statistical Association, vol. 55, pages 187-193, August.
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    Cited by:

    1. Aarti Munjal & Uttara R Sakhadeo & Keith E Muller & Deborah H Glueck & Sarah M Kreidler, 2014. "GLIMMPSE Lite: Calculating Power and Sample Size on Smartphone Devices," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-26, December.

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