Gary S. Collins

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Douglas G AltmanCentre for Statistics in Medicine, University of OxfordVerified email at csm.ox.ac.uk
Richard D RileyUniversity of Birmingham, UK.Verified email at bham.ac.uk
Ewout W. SteyerbergProfessor of Clinical Biostatistics and Medical Decision Making, LUMC & Erasmus MCVerified email at lumc.nl
Ben Van CalsterAssociate Professor, KU Leuven & LUMC LeidenVerified email at kuleuven.be
Saeid SafiriA/Professor of Epidemiology, Tabriz University of Medical SciencesVerified email at tbzmed.ac.ir
Mohammad Ali Mansournia, MD, MPH...Professor of Epidemiology, Tehran University of Medical SciencesVerified email at sina.tums.ac.ir
Maarten van SmedenUniversity Medical Center UtrechtVerified email at umcutrecht.nl
Andrew J CarrNuffield Professor of Orthopaedic Surgery, University of OxfordVerified email at ndorms.ox.ac.uk
Daniel Prieto-alhambraProfessor, university of oxford and Erasmus MCVerified email at idiapjgol.info
John P.A. IoannidisProfessor of Medicine/Health Research & Policy/Biomedical Data Science/Statistics, Stanford UnivVerified email at stanford.edu
Paula DhimanPost-doctoral Researcher, University of OxfordVerified email at csm.ox.ac.uk
PJ DevereauxMcMaster UniversityVerified email at mcmaster.ca
Wynants L.Assistant Professor Maastricht University; KU LeuvenVerified email at kuleuven.be
Andrew VickersMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Petra MacaskillUniversity of SydneyVerified email at sydney.edu.au
Frank Harrellduke university, university of virginia, vanderbilt universityVerified email at vanderbilt.edu
Theo VosInstitute for Health Metrics and Evaluation, University of WashingtonVerified email at uw.edu
Francesco CottoneChief Statistician, Italian Group for Adult Hematologic Diseases, Health Outcomes Research UnitVerified email at gimema.it
Colin MathersConsultant, World Health OrganizationVerified email at pm.me
Christopher MurrayProfessor, University of WashingtonVerified email at uw.edu

Gary S. Collins

Professor of Medical Statistics, Centre for Statistics in Medicine, University of Oxford

Verified email at csm.ox.ac.uk - Homepage

medical statistics biostatistics prognosis prediction models reporting


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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	5543	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	2909	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	2425	2020
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	964	2014
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	886	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	868	2019
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	812	2019
Selection of single blastocysts for fresh transfer via standard morphology assessment alone and with array CGH for good prognosis IVF patients: results from a randomized pilot … Z Yang, J Liu, GS Collins, SA Salem, X Liu, SS Lyle, AC Peck, ES Sills, ... Molecular cytogenetics 5, 1-8, 2012	663	2012
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	637	2016
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	552	2020
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	535	2019
External validation of multivariable prediction models: a systematic review of methodological conduct and reporting GS Collins, JA de Groot, S Dutton, O Omar, M Shanyinde, A Tajar, ... BMC medical research methodology 14 (1), 1-11, 2014	532	2014
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	474	2020
Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting GS Collins, S Mallett, O Omar, LM Yu BMC medicine 9 (1), 1-14, 2011	473	2011
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	461	2020
Sample size considerations for the external validation of a multivariable prognostic model: a resampling study GS Collins, EO Ogundimu, DG Altman Statistics in medicine 35 (2), 214-226, 2016	451	2016
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	427	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	420	2020
Justify your alpha D Lakens, FG Adolfi, CJ Albers, F Anvari, MAJ Apps, SE Argamon, ... Nature human behaviour 2 (3), 168-171, 2018	411	2018
Reporting of artificial intelligence prediction models GS Collins, KGM Moons The Lancet 393 (10181), 1577-1579, 2019	407	2019

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