A Bayesian framework for estimating vaccine efficacy per infectious contact

A Bayesian Framework for Estimating Vaccine Efficacy per Infectious Contact.

In vaccine studies for infectious diseases such as human immunodeficiency virus (HIV), the frequency and type of contacts between study participants and infectious sources are among the most informative risk factors, but are often not adequately adjusted for in standard analyses. Such adjustment can improve the assessment of vaccine efficacy as well as the assessment of risk factors. It can be ...

Efficacy of Experimental Inactivated Vaccine for Infectious Bronchitis Disease

efficacy of experimental inactivated vaccine for infectious bronchitis disease

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Estimating the probability of demonstrating vaccine efficacy in the declining Ebola epidemic: a Bayesian modelling approach

OBJECTIVES We investigate the chance of demonstrating Ebola vaccine efficacy in an individually randomised controlled trial implemented in the declining epidemic of Forécariah prefecture, Guinea. METHODS We extend a previously published dynamic transmission model to include a simulated individually randomised controlled trial of 100,000 participants. Using Bayesian methods, we fit the model t...

A Bayesian Framework for the Ratio of Two Poisson Rates in the Context of Vaccine Efficacy Trials

In many applications, we assume that two random observations x and y are generated according to independent Poisson distributions P(λS) and P(μT ) and we are interested in performing statistical inference on the ratio φ = λ/μ of the two incidence rates. In vaccine efficacy trials, x and y are typically the numbers of cases in the vaccine and the control groups respectively, φ is called the rela...