(2023). Derivation and validation of the CFracture competing risk fracture prediction tool compared with QFracture in older people and people with comorbidity: a population cohort study. Lancet Healthy Longev, 4, e43-e53. http://doi.org/10.1016/s2666-7568(22)00290-2.
(2022). Changing co-morbidity and increasing deprivation among people living with HIV: UK population-based cross-sectional study. Hiv Med. http://doi.org/10.1111/hiv.13389.
(2022). Predictive performance of a competing risk cardiovascular prediction tool CRISK compared to QRISK3 in older people and those with comorbidity: population cohort study. Bmc Med, 20, 152. http://doi.org/10.1186/s12916-022-02349-6.
(2022). Background rates of five thrombosis with thrombocytopenia syndromes of special interest for COVID-19 vaccine safety surveillance: Incidence between 2017 and 2019 and patient profiles from 38.6 million people in six European countries. Pharmacoepidemiol Drug Saf, 31, 495-510. http://doi.org/10.1002/pds.5419.
(2022). Health conditions in adults with HIV compared with the general population: A population-based cross-sectional analysis. Eclinicalmedicine, 47, 101392. http://doi.org/10.1016/j.eclinm.2022.101392.
(2013). Impact of clinical trial findings on Bell\textquoterights palsy management in general practice in the UK 2001-2012: interrupted time series regression analysis. BMJ Open. http://doi.org/10.1136/bmjopen-2013-003121.
(2016). Respiratory effect of beta-blocker eye drops in asthma: population-based study and meta-analysis of clinical trials. Br J Clin Pharmacol. http://doi.org/10.1111/bcp.13006.
(2017). Validation of asthma recording in the Clinical Practice Research Datalink (CPRD). BMJ Open. http://doi.org/10.1136/bmjopen-2017-017474.
(2017). Respiratory effect of beta-blockers in people with asthma and cardiovascular disease: population-based nested case control study. BMC Med. http://doi.org/10.1186/s12916-017-0781-0.
(2018). External validation of ADO, DOSE, COTE and CODEX at predicting death in primary care patients with COPD using standard and machine learning approaches. Respir Med. http://doi.org/10.1016/j.rmed.2018.04.003.