| 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 | 3061 | 2020 |
| A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models E Christodoulou, J Ma, GS Collins, EW Steyerberg, JY Verbakel, ... Journal of clinical epidemiology 110, 12-22, 2019 | 1318 | 2019 |
| 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 | 391 | 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 | 173 | 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 | 66 | 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 | 60 | 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 | 49 | 2022 |
| 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 | 26 | 2020 |
| 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 | 24 | 2023 |
| 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 | 19 | 2022 |
| 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, 2023 | 17 | 2023 |
| Risk prediction models in perioperative medicine: methodological considerations GS Collins, J Ma, S Gerry, E Ohuma, LO Odondi, M Trivella, J De Beyer, ... Current Anesthesiology Reports 6, 267-275, 2016 | 12 | 2016 |
| 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 | 10 | 2024 |
| Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review P Dhiman, J Ma, C Qi, G Bullock, JC Sergeant, RD Riley, GS Collins BMC Medical Research Methodology 23 (1), 188, 2023 | 7 | 2023 |
| Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review P Dhiman, J Ma, CLA Navarro, B Speich, G Bullock, JAA Damen, L Hooft, ... Journal of Clinical Epidemiology, 2023 | 7 | 2023 |
| Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review J Ma, P Dhiman, C Qi, G Bullock, M van Smeden, RD Riley, GS Collins Journal of Clinical Epidemiology, 2023 | 5 | 2023 |
| Artificial intelligence in lung cancer diagnostic imaging: a review of the reporting and conduct of research published 2018–2019 P Logullo, A MacCarthy, P Dhiman, S Kirtley, J Ma, G Bullock, GS Collins BJR| Open 5 (1), 20220033, 2023 | 4 | 2023 |
| Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery P Dhiman, J Ma, VN Gibbs, A Rampotas, H Kamal, SS Arshad, S Kirtley, ... Journal of Clinical Epidemiology 159, 10-30, 2023 | 2 | 2023 |
| There are no shortcuts in the development and validation of a COVID‐19 prediction model GS Collins, J Ma, P Dhiman Transboundary and Emerging Diseases 68 (2), 2020 | 2 | 2020 |
| Methods for Evaluating Medical Tests and Biomarkers: Birmingham, UK. 19–20 July 2016 G Gopalakrishna, M Langendam, R Scholten, P Bossuyt, M Leeflang, ... Diagnostic and prognostic research 1, 1-34, 2017 | 1 | 2017 |
