1 citations · 2 across the 4 of their papers we have counts for
4 papers
A Bayesian hierarchical model for improving exercise rehabilitation in mechanically ventilated ICU patients
Luke Hardcastle, Samuel Livingstone, Claire Black +2
Patients who are mechanically ventilated in the intensive care unit (ICU) participate in exercise as a component of their rehabilitation to ameliorate the long-term impact of criti…
Dirichlet Process Mixture Models for Regression Discontinuity Designs
Federico Ricciardi, Silvia Liverani, Gianluca Baio
The Regression Discontinuity Design (RDD) is a quasi-experimental design that estimates the causal effect of a treatment when its assignment is defined by a threshold value for a c…
Bayesian Inference for Sequential Treatments under Latent Sequential Ignorability
Federico Ricciardi, Alessandra Mattei, Fabrizia Mealli
We focus on causal inference for longitudinal treatments, where units are assigned to treatments at multiple time points, aiming to assess the effect of different treatment sequenc…
Bayesian modelling for binary outcomes in the Regression Discontinuity Design
Sara Geneletti, Federico Ricciardi, Aidan O'Keeffe +1
The Regression Discontinuity (RD) design is a quasi-experimental design which emulates a randomised study by exploiting situations where treatment is assigned according to a contin…