| EPSRC Reference: |
EP/T033061/1 |
| Title: |
Mixed Semi-Continuous Copula Additive Regression Models with Applications in Insurance and Health Care |
| Principal Investigator: |
Radice, Dr R |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Actuarial Science and Insurance |
| Organisation: |
City, University of London |
| Scheme: |
Standard Research |
| Starts: |
01 January 2021 |
Ends: |
31 December 2023 |
Value (£): |
440,401
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| EPSRC Research Topic Classifications: |
| Mathematical Analysis |
Statistics & Appl. Probability |
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| EPSRC Industrial Sector Classifications: |
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| Panel History: |
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Summary on Grant Application Form |
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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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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.city.ac.uk |