8 citations · 11 across the 6 of their papers we have counts for
6 papers
Calibration of clinical trial sample size based on design utility
Charu Gupta, Gabriel Innocenzi, Christina Yap +2
Clinical trial design relies on both statistical and clinical considerations for pre-specification of potentially practice-changing target treatment effects. As larger trials tend…
Equipoise calibration of clinical trial design
Fabio Rigat
Clinical trial design ensures that primary analysis outcomes have strong statistical properties. However, mainstream methodology for randomised study design does not establish a fo…
A Conservative Approach to Leveraging External Evidence for Effective Clinical Trial Design
Fabio Rigat
Prior probabilities of clinical hypotheses are not systematically used for clinical trial design yet, due to a concern that poor priors may lead to poor decisions. To address this…
Bayesian Density Estimation via Multiple Sequential Inversions of 2-D Images with Application in Electron Microscopy
Dalia Chakrabarty, Fabio Rigat, Nare Gabrielyan +2
We present a new Bayesian methodology to learn the unknown material density of a given sample by inverting its two-dimensional images that are taken with a Scanning Electron Micros…
Semi-parametric dynamic time series modelling with applications to detecting neural dynamics
Fabio Rigat, Jim Q. Smith
This paper illustrates novel methods for nonstationary time series modeling along with their applications to selected problems in neuroscience. These methods are semi-parametric in…
Parallel hierarchical sampling: a practical multiple-chains sampler for Bayesian model selection
Fabio Rigat
This paper introduces the parallel hierarchical sampler (PHS), a Markov chain Monte Carlo algorithm using several chains simultaneously. The connections between PHS and the paralle…