Area of research
Statistics, Probability and Uncertainty · Economics and Econometrics
Research interest
Research interests include Medicine, Demography, Computer science, Burden of disease, Checklist, and Artificial intelligence.
The TRIPOD-LLM reporting guideline for studies using large language models
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence
Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Are ethnic disparities in COVID-19 severe outcomes over? Analysis of 5.3 million individuals in England and Wales from 2020-2022
Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review
Prediction Model Studies are Not Considering Sample Size Requirements to Develop Their Model: A Systematic Review
Global, regional, and national burden of cancers attributable to tobacco smoking in 204 countries and territories, 1990–2019
Global, Regional and National Burden of Cancers Attributable to High Fasting Plasma Glucose in 204 Countries and Territories, 1990-2019
Global, regional, and national cancer deaths and disability‐adjusted life‐years (DALYs) attributable to alcohol consumption in 204 countries and territories, 1990‐2019
Global, regional, and national burden of cancers attributable to excess body weight in 204 countries and territories, 1990 to 2019
Burden of anemia and its underlying causes in 204 countries and territories, 1990–2019: results from the Global Burden of Disease Study 2019
Global, regional, and national burden of migraine in 204 countries and territories, 1990 to 2019
Burden of ischemic heart disease and its attributable risk factors in 204 countries and territories, 1990–2019
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI