1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
Computing the Expected Value of Sample Information Efficiently: Expertise and Skills Required for Four Model-Based Methods
Natalia R. Kunst, Edward Wilson, Fernando Alarid-Escudero +11
Objectives: Value of information (VOI) analyses can help policy-makers make informed decisions about whether to conduct and how to design future studies. Historically, a computatio…
A Full Bayesian Model to Handle Structural Ones and Missingness in Economic Evaluations from Individual-Level Data
Andrea Gabrio, Alexina J. Mason, Gianluca Baio
Economic evaluations from individual-level data are an important component of the process of technology appraisal, with a view to informing resource allocation decisions. A critica…