Providing software solutions since 1976
Capabilities
- Analysis of Variance
- Bayesian Analysis
- Categorical Data Analysis
- Cluster Analysis
- Descriptive Statistics
- Distribution Analysis
- Discriminant Analysis
- Exact Methods
- Group Sequential Design and Analysis
- Market Research
- Missing Value Imputation
- Mixed Models
- Multivariate Analysis
- Nonparametric Statistics
- Power and Sample Size
- Psychometric Analysis
- Regression
- Spatial Analysis
- Structural Equations
- Survey Sampling and Analysis
- Survival Analysis
- Transformations
- SAS/STAT Procedures A-Z
The POWER Procedure
- performs prospective power and sample size 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
- A variety of statistical analyses are covered:
- t tests, equivalence tests, and confidence intervals for means
- tests, equivalence tests, and confidence intervals for binomial proportions
- multiple regression
- tests of correlation and partial correlation
- one-way analysis of variance
- rank tests for comparing two survival curves
- logistic regression with binary response
- Wilcoxon-Mann-Whitney (rank-sum) test
- produces tabular and graphical output
- uses ODS to create a SAS data set corresponding to any table
For further details see the SAS/STAT User's Guide:
The POWER Procedure
( PDF | HTML )
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
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