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In This Chapter
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Sample Size Determination
- Introduction
- Overview
- Sample Size Adjustment
- A Simple Adjustment for the t-Test Statistic
- A Simple Adjustment for Missing Values
- A Simple Adjustment for Unequal Allocation
- Sample Size Based on Means
- A Single Mean
- Two Independent Groups
- Parallel Design
- × 2 Crossover Design
- Parallel Design with Baseline and Repeated Measurements
- × 2 Crossover Design with Repeated Measurements
- Noninferiority Trials
- Paired Observations
- Sample Size Based on Proportions
- A Single Proportion
- Two Independent Proportions
- Continuity-Corrected χ2 Test (Fisher’s Exact)
- More Than Two Independent Proportions
- Sample Size in Survival Analysis
- Sample Size Based on Treatment Variance
- Sample Size Based on Correlation
- Reestimating Sample Size Without Unblinding
- Conclusion
- References
Abstract
Sample size determination can be based on either the desired power of a particular statistical test for a population parameter or the desired precision of a confidence interval estimator of a population parameter when sampling from a large population. This entry reviews methods of determining sample sizes for statistical tests.
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