3 papers
stat.ME2023
Bayesian Interrupted Time Series for evaluating policy change on mental well-being: an application to England's welfare reform
Connor Gascoigne, Marta Blangiardo, Zejing Shao +4
Factors contributing to social inequalities are also associated with negative mental health outcomes leading to disparities in mental well-being. We propose a Bayesian hierarchical…
stat.ME2022
Evaluating the Impact of COVID-19 Vaccination in the United Kingdom: A Gaussian Process Approach
Gianluca Giudice, Sara Geneletti, Konstantinos Kalogeropoulos
The rapid rollout of COVID-19 vaccines in the United Kingdom in early 2021 differed markedly from that of many other European countries, providing a natural setting to assess the i…
stat.ME2016
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…