Power to Detect the Effects of HIV Vaccination in Repeated Low‐Dose Challenge Experiments

Michael G. Hudgens, Peter B. Gilbert, John R. Mascola, Chih‐Da Wu, Dan H. Barouch, Steven G. Self

The Journal of Infectious Diseases · 2009 · 47 citations · 10 references

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Abstract

Simulation studies were conducted to estimate the statistical power of repeated low-dose challenge experiments performed in nonhuman primates to detect the effect of a candidate human immunodeficiency virus vaccine. The effect of various design parameters on power was explored. Results of simulation studies indicate that repeated low-dose challenge studies with a total sample of size 50 (25 animals/arm) typically provide adequate power to detect a 50% reduction in the per-exposure probability of infection resulting from vaccination. Power generally increases with the maximum number of allowable challenges per animal, the per-exposure risk of infection in control animals, and the proportion of animals susceptible to infection.

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