Parameter estimates.

In model of multi-study gene-level influenza data: θ is the overall rate of genes involved with influenza; α represents false positive measurement errors, and β measures false negative errors, allowing heterogeneity among studies; γ measures the rate at which genes are accessible for knockdown; ω measures how well mRNA knock down is achieved in error free recordings, and ν measures the average number of off-targets per siRNA. Estimates are based on maximum likelihood (MLE) as well as by Bayesian posterior averaging under a flat prior. Estimates of derived quantities are shown in the lower rows.