| 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 | 3126 | 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 | 968 | 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 | 433 | 2021 |
| 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 | 200 | 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 | 158 | 2011 |
| 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 | 123 | 2012 |
| 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 | 119 | 2021 |
| 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 | 72 | 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 | 63 | 2021 |
| 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 | 56 | 2022 |
| 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 | 51 | 2017 |
| 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 | 50 | 2012 |
| 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 | 42 | 2023 |
| 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 | 37 | 2014 |
| 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 | 35 | 2023 |
| Modifiable risk factors for mortality in revision total hip arthroplasty for periprosthetic fracture VN Gibbs, RA McCulloch, P Dhiman, A McGill, AH Taylor, AJR Palmer, ... The Bone & Joint Journal 102 (5), 580-585, 2020 | 32 | 2020 |
| Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques CLA Navarro, JAAG Damen, T Takada, SWJ Nijman, P Dhiman, J Ma, ... BMJ open 10 (11), e038832, 2020 | 30 | 2020 |
| Impact of reduced sampling rate on accelerometer-based physical activity monitoring and machine learning activity classification S Small, S Khalid, P Dhiman, S Chan, D Jackson, A Doherty, A Price Journal for the Measurement of Physical Behaviour 4 (4), 298-310, 2021 | 28 | 2021 |
| Does bone mineral density improve the predictive accuracy of fracture risk assessment? A prospective cohort study in Northern Denmark P Dhiman, S Andersen, P Vestergaard, T Masud, N Qureshi BMJ open 8 (4), e018898, 2018 | 25 | 2018 |
| Risk of bias of prognostic models developed using machine learning: a systematic review in oncology P Dhiman, J Ma, CL Andaur Navarro, B Speich, G Bullock, JAA Damen, ... Diagnostic and prognostic research 6 (1), 13, 2022 | 24 | 2022 |
