The POWER Procedure
- Overview
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Getting Started
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Syntax
PROC POWER Statement LOGISTIC Statement MULTREG Statement ONECORR Statement ONESAMPLEFREQ Statement ONESAMPLEMEANS Statement ONEWAYANOVA Statement PAIREDFREQ Statement PAIREDMEANS Statement PLOT Statement TWOSAMPLEFREQ Statement TWOSAMPLEMEANS Statement TWOSAMPLESURVIVAL Statement TWOSAMPLEWILCOXON Statement
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Details
Overview of Power Concepts Summary of Analyses Specifying Value Lists in Analysis Statements Sample Size Adjustment Options Error and Information Output Displayed Output ODS Table Names Computational Resources Computational Methods and Formulas ODS Graphics ODS Styles Suitable for Use with PROC POWER
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Examples
One-Way ANOVA The Sawtooth Power Function in Proportion Analyses Simple AB/BA Crossover Designs Noninferiority Test with Lognormal Data Multiple Regression and Correlation Comparing Two Survival Curves Confidence Interval Precision Customizing Plots Binary Logistic Regression with Independent Predictors Wilcoxon-Mann-Whitney Test
- References
| Computational Methods and Formulas |
This section describes the approaches used in PROC POWER to compute power for each analysis. The first subsection defines some common notation. The following subsections describe the various power analyses, including discussions of the data, statistical test, and power formula for each analysis. Unless otherwise indicated, computed values for parameters besides power (for example, sample size) are obtained by solving power formulas for the desired parameters.
- Common Notation
- Analyses in the LOGISTIC Statement
- Analyses in the MULTREG Statement
- Analyses in the ONECORR Statement
- Analyses in the ONESAMPLEFREQ Statement
- Analyses in the ONESAMPLEMEANS Statement
- Analyses in the ONEWAYANOVA Statement
- Analyses in the PAIREDFREQ Statement
- Analyses in the PAIREDMEANS Statement
- Analyses in the TWOSAMPLEFREQ Statement
- Analyses in the TWOSAMPLEMEANS Statement
- Analyses in the TWOSAMPLESURVIVAL Statement
- Analyses in the TWOSAMPLEWILCOXON Statement