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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…
Modeling outcomes of soccer matches
Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis +4
We compare various extensions of the Bradley-Terry model and a hierarchical Poisson log-linear model in terms of their performance in predicting the outcome of soccer matches (win,…
Joint longitudinal models for dealing with missing at random data in trial-based economic evaluations
Andrea Gabrio, Rachael Hunter, Alexina J. Mason +1
Health economic evaluations based on patient-level data collected alongside clinical trials~(e.g. health related quality of life and resource use measures) are an important compone…
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…