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Confidence intervals for the difference between two relative risks.

Joshua N SampsonMitchell H Gail
Published in: Statistical methods in medical research (2020)
We provide methods to estimate the confidence interval for the difference between two relative risks. Letting p0, p1, and p2 be the probabilities of an event in three groups (i.e. control, treatment 1, treatment 2), our methods estimate a confidence interval for r = p1/p0 - p2/p0. We highlight that our methods can handle small sample sizes, covariates, and study populations from multiple strata. We specifically developed these methods for vaccine trials to estimate the difference between two vaccine efficacies, where VE1 = 1 - p1/p0, VE2 = 1 - p2/p0 and r = VE2 - VE1. We showcase our methods by using interim data from one of these trials to suggest that one dose of the human papillomavirus vaccine may be as efficacious as two doses of the vaccine.
Keyphrases
  • human health
  • risk assessment
  • big data
  • climate change
  • deep learning
  • artificial intelligence
  • smoking cessation
  • data analysis