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Details of Grant 

EPSRC Reference: EP/T033061/1
Title: Mixed Semi-Continuous Copula Additive Regression Models with Applications in Insurance and Health Care
Principal Investigator: Radice, Professor R
Other Investigators:
Marra, Dr G
Researcher Co-Investigators:
Project Partners:
Department: Actuarial Science and Insurance
Organisation: City, University of London
Scheme: Standard Research
Starts: 01 July 2021 Ends: 31 August 2024 Value (£): 440,401
EPSRC Research Topic Classifications:
Mathematical Analysis Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
Financial Services
Related Grants:
Panel History:
Panel DatePanel NameOutcome
01 Jun 2020 EPSRC Mathematical Sciences Prioritisation Panel June 2020 Announced
Summary on Grant Application Form
Insurance and health care data often present a high proportion of zeros with possible skewed positive values. For example, insurance claims and medical expenditures are among those continuous skewed data with a spike at zero. Furthermore, these data are interconnected and researcher might wish to model them jointly. For instance, the interest can be in modelling simultaneously different types of medical expenditure (inpatient and outpatient), health outcomes (quality adjusted life years, QALYs) and costs, and multiple types of coverage provided by the same insurance policy, while accounting for both their dependence and the particular nature of their distributions (high proportion of zeros with positive values). Accounting for both features is indeed critical for many reasons including obtaining unbiased estimates, reliable confidence intervals, providing reliable predictions, to name but a few. Our aim is to propose a powerful, flexible and sophisticated approach that can deal with the nature of these data in an effective and efficient way while producing comprehensible results that are easy to interpret and understand, particularly by risk analysts and health decision makers.
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Organisation Website: http://www.city.ac.uk