| Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal L Wynants, B Van Calster, GS Collins, RD Riley, G Heinze, E Schuit, ... bmj 369, 2020 | 3331 | 2020 |
| Antidepressant use and risk of adverse outcomes in older people: population based cohort study C Coupland, P Dhiman, R Morriss, A Arthur, G Barton, J Hippisley-Cox Bmj 343, 2011 | 1008 | 2011 |
| Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial … GS Collins, P Dhiman, CLA Navarro, J Ma, L Hooft, JB Reitsma, P Logullo, ... BMJ open 11 (7), e048008, 2021 | 567 | 2021 |
| TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods GS Collins, KGM Moons, P Dhiman, RD Riley, AL Beam, B Van Calster, ... bmj 385, 2024 | 309 | 2024 |
| Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review CLA Navarro, JAA Damen, T Takada, SWJ Nijman, P Dhiman, J Ma, ... bmj 375, 2021 | 257* | 2021 |
| A study of the safety and harms of antidepressant drugs for older people: a cohort study using a large primary care database CA Coupland, P Dhiman, G Barton, R Morriss, A Arthur, T Sach, ... Health Technol Assess 15 (28), 1-202, 2011 | 165 | 2011 |
| Multiple cereblon genetic changes are associated with acquired resistance to lenalidomide or pomalidomide in multiple myeloma S Gooding, N Ansari-Pour, F Towfic, M Ortiz Estévez, PP Chamberlain, ... Blood, The Journal of the American Society of Hematology 137 (2), 232-237, 2021 | 144 | 2021 |
| Effect of adding systematic family history enquiry to cardiovascular disease risk assessment in primary care: a matched-pair, cluster randomized trial N Qureshi, S Armstrong, P Dhiman, P Saukko, J Middlemass, PH Evans, ... Annals of Internal Medicine 156 (4), 253-262, 2012 | 126 | 2012 |
| Evaluation of clinical prediction models (part 1): from development to external validation GS Collins, P Dhiman, J Ma, MM Schlussel, L Archer, B Van Calster, ... bmj 384, 2024 | 109 | 2024 |
| Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review CL Andaur Navarro, JAA Damen, T Takada, SWJ Nijman, P Dhiman, J Ma, ... BMC medical research methodology 22, 1-13, 2022 | 94 | 2022 |
| Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review P Dhiman, J Ma, CL Andaur Navarro, B Speich, G Bullock, JAA Damen, ... BMC medical research methodology 22 (1), 101, 2022 | 78 | 2022 |
| Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved P Dhiman, J Ma, CA Navarro, B Speich, G Bullock, JAA Damen, S Kirtley, ... Journal of clinical epidemiology 138, 60-72, 2021 | 78 | 2021 |
| Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA) KIE Snell, B Levis, JAA Damen, P Dhiman, TPA Debray, L Hooft, ... Bmj 381, 2023 | 72 | 2023 |
| Evaluation of clinical prediction models (part 2): how to undertake an external validation study RD Riley, L Archer, KIE Snell, J Ensor, P Dhiman, GP Martin, LJ Bonnett, ... bmj 384, 2024 | 69 | 2024 |
| Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models CLA Navarro, JAA Damen, M van Smeden, T Takada, SWJ Nijman, ... Journal of Clinical Epidemiology 154, 8-22, 2023 | 62 | 2023 |
| Psychological morbidity and return to work after injury: multicentre cohort study D Kendrick, P Dhiman, B Kellezi, C Coupland, J Whitehead, K Beckett, ... British journal of general practice 67 (661), e555-e564, 2017 | 55 | 2017 |
| Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial … GS Collins, P Dhiman, CL Andaur Navarro, J Ma, L Hooft, JB Reitsma, ... DOI: https://doi. org/10.1136/bmjopen-2020-048008, 0 | 54 | |
| Network meta-analysis to evaluate the effectiveness of interventions to increase the uptake of smoke alarms NJ Cooper, D Kendrick, F Achana, P Dhiman, Z He, P Wynn, ... Epidemiologic reviews 34 (1), 32-45, 2012 | 52 | 2012 |
| Availability and quality of coronary heart disease family history in primary care medical records: implications for cardiovascular risk assessment P Dhiman, J Kai, L Horsfall, K Walters, N Qureshi PLoS One 9 (1), e81998, 2014 | 42 | 2014 |
| Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models CLA Navarro, JAA Damen, T Takada, SWJ Nijman, P Dhiman, J Ma, ... Journal of clinical epidemiology 158, 99-110, 2023 | 40 | 2023 |
