22 citations · 27 across the 4 of their papers we have counts for
5 papers
Improving Bayesian estimation of Vaccine Efficacy
Mauro Gasparini
A full Bayesian approach to the estimation of Vaccine Efficacy is presented, which is an improvement over the currently used exact method conditional on the total number of cases.…
On the definition of a concentration function relevant to the ROC curve
Mauro Gasparini, Lidia Sacchetto
This is a reader's reaction to a recent paper by E. Schechtman and G. Schechtman (Metron, 2019) about the correct definition of a concentration function for the diagnostic, i.e. su…
Proper likelihood ratio based ROC curves for general binary classification problems
Lidia Sacchetto, Mauro Gasparini
Everybody writes that ROC curves, a very common tool in binary classification problems, should be optimal, and in particular concave, non-decreasing and above the 45-degree line. E…
Cancer phase I trial design using drug combinations when a fraction of dose limiting toxicities is attributable to one or more agents
Jose L. Jimenez, Mourad Tighiouart, Mauro Gasparini
Drug combination trials are increasingly common nowadays in clinical research. However, very few methods have been developed to consider toxicity attributions in the dose escalatio…
Loss Functions in Restricted Parameter Spaces and Their Bayesian Applications
Pavel Mozgunov, Thomas Jaki, Mauro Gasparini
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator of the parameter of interest. However, it can lead to sub-optimal solutions when…