| Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement G Collins, J Reitsma, D Altman, K Moons Annals of Internal Medicine 162 (1), 55-63, 2015 | 11135 | 2015 |
| Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration KGM Moons, DG Altman, JB Reitsma, JPA Ioannidis, P Macaskill, ... Annals of internal medicine 162 (1), W1-W73, 2015 | 4958 | 2015 |
| 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 | 3630 | 2020 |
| Calculating the sample size required for developing a clinical prediction model RD Riley, J Ensor, KIE Snell, FE Harrell, GP Martin, JB Reitsma, ... Bmj 368, 2020 | 2359 | 2020 |
| PROBAST: a tool to assess the risk of bias and applicability of prediction model studies RF Wolff, KGM Moons, RD Riley, PF Whiting, M Westwood, GS Collins, ... Annals of internal medicine 170 (1), 51-58, 2019 | 2317 | 2019 |
| Guidelines for accurate and transparent health estimates reporting: the GATHER statement GA Stevens, L Alkema, RE Black, JT Boerma, GS Collins, M Ezzati, ... The Lancet 388 (10062), e19-e23, 2016 | 2087 | 2016 |
| 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 | 1983 | 2019 |
| Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist KGM Moons, JAH de Groot, W Bouwmeester, Y Vergouwe, S Mallett, ... PLoS medicine 11 (10), e1001744, 2014 | 1933 | 2014 |
| 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 | 1578 | 2024 |
| Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease … ML Ferreira, K De Luca, LM Haile, JD Steinmetz, GT Culbreth, M Cross, ... The Lancet Rheumatology 5 (6), e316-e329, 2023 | 1538 | 2023 |
| PROBAST: a tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration KGM Moons, RF Wolff, RD Riley, PF Whiting, M Westwood, GS Collins, ... Annals of internal medicine 170 (1), W1-W33, 2019 | 1457 | 2019 |
| Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension X Liu, SC Rivera, D Moher, MJ Calvert, AK Denniston, H Ashrafian, ... The Lancet Digital Health 2 (10), e537-e548, 2020 | 1430 | 2020 |
| Global, regional and national burden of osteoarthritis 1990-2017: a systematic analysis of the Global Burden of Disease Study 2017 S Safiri, AA Kolahi, E Smith, C Hill, D Bettampadi, MA Mansournia, D Hoy, ... Annals of the rheumatic diseases 79 (6), 819-828, 2020 | 1409 | 2020 |
| Minimum sample size for developing a multivariable prediction model: PART II‐binary and time‐to‐event outcomes RD Riley, KIE Snell, J Ensor, DL Burke, FE Harrell Jr, KGM Moons, ... Statistics in medicine 38 (7), 1276-1296, 2019 | 1153 | 2019 |
| Prediction models for cardiovascular disease risk in the general population: systematic review JAAG Damen, L Hooft, E Schuit, TPA Debray, GS Collins, I Tzoulaki, ... bmj 353, 2016 | 1075 | 2016 |
| Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies M Nagendran, Y Chen, CA Lovejoy, AC Gordon, M Komorowski, ... bmj 368, 2020 | 1062 | 2020 |
| Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert, H Ashrafian, ... The Lancet Digital Health 2 (10), e549-e560, 2020 | 1045 | 2020 |
| Global, regional and national burden of rheumatoid arthritis 1990–2017: a systematic analysis of the Global Burden of Disease study 2017 S Safiri, AA Kolahi, D Hoy, E Smith, D Bettampadi, MA Mansournia, ... Annals of the rheumatic diseases 78 (11), 1463-1471, 2019 | 959 | 2019 |
| CONSORT 2025 statement: updated guideline for reporting randomised trials S Hopewell, AW Chan, GS Collins, A Hróbjartsson, D Moher, KF Schulz, ... The Lancet 405 (10489), 1633-1640, 2025 | 918* | 2025 |
| Burden of chronic obstructive pulmonary disease and its attributable risk factors in 204 countries and territories, 1990-2019: results from the Global Burden of Disease Study 2019 S Safiri, K Carson-Chahhoud, M Noori, SA Nejadghaderi, MJM Sullman, ... bmj 378, 2022 | 879 | 2022 |
Richard D RileyUniversity of BirminghamVerified email at bham.ac.uk
