Power and sample size
Before you conduct your experiment, determine the sample size needed to detect
meaningful effects without wasting resources. Do you intend to perform tests
of means, variances, proportions, or correlations? Do you plan to fit a
one-way, two-way, or repeated-measures ANOVA model? Do you want to fit a Cox
proportional-hazards model or compare survivor functions using a log-rank test
Use Stata's power commands or interactive Control Panel to compute power and
sample size, create customized tables, and automatically graph the relationships
between power, sample size, and effect size for your planned study. And much more.
Control panel interface
- Select analysis type from descriptive summaries
- Specify list of power, sample size, or other levels
- Automated tables and graphs
- Customize tables and graphs
- Command interface too (of course)
- Simple or comparative
Save results to dataset
Add your own methods
Also see precision and sample-size analysis for confidence intervals.
New in Stata 16
for more about what was added in Stata 16.