9.1 | The POWER procedure performs prospective analyses for a variety of goals such as the following: |
determining the sample size required to get a significant result with adequate probability (power)
characterizing the power of a study to detect a meaningful effect
conducting what-if analyses to assess sensitivity of the power or required sample size to other factors
This procedure covers a variety of statistical analyses such as t tests, equivalence tests, and confidence intervals for means; exact binomial, chi-square, Fisher s exact, and McNemar tests for proportions ; multiple regression and correlation; one-way analysis of variance; and rank tests for comparing survival curves.
The POWER procedure is one of several tools available in SAS/STAT software for power and sample size analysis. PROC GLMPOWER covers more complex linear models, and the Power and Sample Size Application provides a user interface and implements many of the analyses supported in the procedures.