PrefaceAcknowledgementsPart I. What is sample size?1. Introduction: The sample size problem in animal-based research2. Sample size basics3. Ten strategies to increase information (and reduce animal numbers)Part II. Sample size for feasibility and pilot studies4. Introduction to pilot studies5. Operational pilots6. Empirical and translational pilots7. Feasibility calculations: Arithmetic estimation8. Feasibility calculations: Probability-based estimationPart III. Sample size for description9. Introduction to descriptive studies10. Confidence intervals11. Prediction intervals12. Tolerance intervals13. Reference intervalsPart IV. Sample size for comparison14. Hypothesis testing, power, non-centrality15. A bestiary of effect sizes16. Comparing two groups: Continuous outcomes17. Comparing two groups: Binary and count outcomes18. Comparing two groups: Time to event outcomes19. Comparing multiple factors20. Multi-level and hierarchical designs21. Ordinal data22. Dose-response studiesIndex
Penny S. Reynolds, PhD, is a Research Assistant Professor in the Department of Anesthesiology, College of Medicine, and Department of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, USA.