D. Morales

First name
D.
Middle name
R.
Last name
Morales
Guthrie, B., Rogers, G., Livingstone, S., Morales, D. R., Donnan, P., Davis, S., et al. (2024). The implications of competing risks and direct treatment disutility in cardiovascular disease and osteoporotic fracture: risk prediction and cost effectiveness analysis. Health Soc Care Deliv Res, 12, 1-275. http://doi.org/10.3310/kltr7714
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Livingstone, S., Morales, D. R., Fleuriot, J., Donnan, P. T., & Guthrie, B. (2023). External validation of the QLifetime cardiovascular risk prediction tool: population cohort study. Bmc Cardiovasc Disord, 23, 194. http://doi.org/10.1186/s12872-023-03209-8
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Voss, E. A., Shoaibi, A., Lai, Y. H., Blacketer, C., Alshammari, T., Makadia, R., et al. (2023). Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study. Eclinicalmedicine, 58, 101932. http://doi.org/10.1016/j.eclinm.2023.101932
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Livingstone, S. J., Morales, D. R., McMinn, M., Eke, C., Donnan, P., & Guthrie, B. (2022). Effect of competing mortality risks on predictive performance of the QFracture risk prediction tool for major osteoporotic fracture and hip fracture: external validation cohort study in a UK primary care population. Bmj Med, 1, e000316. http://doi.org/10.1136/bmjmed-2022-000316
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Livingstone, S. J., Guthrie, B., McMinn, M., Eke, C., Donnan, P. T., & Morales, D. R. (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
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McGettigan, P., Morales, D. R., Moreno-Martos, D., & Matin, N. (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
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Burn, E., Li, X., Kostka, K., Stewart, H. M., Reich, C., Seager, S., et al. (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
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Livingstone, S. J., Guthrie, B., Donnan, P. T., Thompson, A., & Morales, D. R. (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
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Morales, D. R., Moreno-Martos, D., Matin, N., & McGettigan, P. (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
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Morales, D. R., Donnan, P. T., Daly, F., Staa, T. V., & Sullivan, F. M. (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
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