Sample size calculations for clustered and longitudinal outcomes in clinical research
Accurate sample size calculation ensures that clinical studies have adequate power to detect clinically meaningful effects. This results in the efficient use of resources and avoids exposing a disproportionate number of patients to experimental treatments caused by an overpowered study. Sample Size...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, Florida
CRC Press LLC
2015
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| Series: | Chapman & Hall/CRC biostatistics series
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- 1. Sample size determination for independent outcomes
- 2. Sample size determination for clustered outcomes
- 3. Sample size determination for repeated measurement outcomes using summary statistics
- 4. Sample size determination for correlated outcome measurements using GEE
- 5. Sample size determination for correlated outcomes from two-level randomized clinical trials
- 6. Sample size determination for correlated outcomes from three-level randomized clinical trials
- Includes bibliographical references