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Decision Modelling, RWE and Data Analytics
PhD – Health Economics
Thaison Tong has extensive work experience in health economics, decision modelling and big data analysis. He has a unique mix of experience in HEOR and RWE related research in academia and pharmaceutical industry. His expertise lies in health technology assessments (HTA), health economic modelling, simulation modelling, big data analytics and decision analysis. He has hands-on experience in a range of software and programming languages including R, R Shiny, R Markdown, Python, MS Excel, VBA, and Simul8. He has substantial experience of the health care system in the UK and other European countries.
Thaison has direct experience in building cost-effectiveness models from scratch and conducting big data analysis in several disease areas including dementia, vascular disease, and cancer.
Thaison’s PhD focus was to develop a de novo patient level model for the evaluation of different cognitive screening tests for early detection of dementia and mild cognitive impairment in primary care. He also looked at different methods for conducting economic evaluation in health care taking a broader/societal perspective. In addition, he investigated the use of Multiple Criteria Decision Analysis (MCDA) for economic evaluation.
Thaison also holds Academic Researcher position in School of Health and Related Research (ScHARR), University of Sheffield, UK and Honorary Researcher position in University of Bristol, UK.
Thaison’s likes to meditate, and play badminton, basketball and tennis.