9.1 | The GLMPOWER procedure performs prospective analyses for linear models, with a variety of goals: |
determining the sample size required to obtain 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
You specify the design and the cell means using an exemplary data set, a data set of artificial values constructed to represent the intended sampling design and the surmised response means in the underlying population. You specify the model and contrasts using MODEL and CONTRAST statements similar to those in the GLM procedure. You specify the remaining parameters with the POWER statement, which is similar to analysis statements in the new POWER procedure.