Gary S. Collins

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Douglas G AltmanCentre for Statistics in Medicine, University of OxfordVerifisert e-postadresse på csm.ox.ac.uk
Richard D RileyUniversity of Birmingham, UK.Verifisert e-postadresse på bham.ac.uk
Ben Van CalsterProfessor of Medical Statistics, KU LeuvenVerifisert e-postadresse på kuleuven.be
Paula DhimanPost-doctoral Researcher, University of OxfordVerifisert e-postadresse på csm.ox.ac.uk
Ewout W. SteyerbergProfessor of Clinical Biostatistics, UMC Utrecht & LUMCVerifisert e-postadresse på lumc.nl
Maarten van SmedenUniversity Medical Center UtrechtVerifisert e-postadresse på umcutrecht.nl
John P.A. IoannidisProfessor of Medicine/Health Research & Policy/Biomedical Data Science/Statistics, Stanford UnivVerifisert e-postadresse på stanford.edu
Wynants L.Assistant Professor Maastricht University; KU LeuvenVerifisert e-postadresse på kuleuven.be
Andrew VickersMemorial Sloan Kettering Cancer CenterVerifisert e-postadresse på mskcc.org
Frank Harrellduke university, university of virginia, vanderbilt universityVerifisert e-postadresse på vanderbilt.edu
Alastair DennistonConsultant Ophthalmologist/Hon Professor, University Hospitals Birmingham/University of BirminghamVerifisert e-postadresse på bham.ac.uk
David MoherOttawa Hospital Research InstituteVerifisert e-postadresse på ohri.ca
Eric TopolProfessor and EVP, Scripps ResearchVerifisert e-postadresse på scripps.edu
Melissa McCraddenAustralian Institute for Machine learningVerifisert e-postadresse på adelaide.edu.au
Xiao LiuUniversity Hospitals Birmingham, University of Birmingham, UKVerifisert e-postadresse på bham.ac.uk
Andrew L. BeamCTO FL97, Inc. | Associate Professor, Harvard UniversityVerifisert e-postadresse på hms.harvard.edu
An-Wen ChanWomen's College Research Institute, University of TorontoVerifisert e-postadresse på utoronto.ca
Willi SauerbreiVerifisert e-postadresse på imbi.uni-freiburg.de
Tammy HoffmannInstitute for Evidence-Based Healthcare, Bond UniversityVerifisert e-postadresse på bond.edu.au
Chris HolmesVerifisert e-postadresse på stats.ox.ac.uk

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Gary S. Collins

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

Verifisert e-postadresse på csm.ox.ac.uk - Startside

medical statistics data science biostatistics machine learning metascience


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	9330	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	4345	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	3346	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	1740	2019
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	1660	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	1625	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	1562	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	1485	2016
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	1128	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	1105	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	969	2020
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	909	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	868	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	857	2019
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	797	2019
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	779	2020
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	754	2023
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, 1-11, 2014	733	2014
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	728	2012
Reporting of artificial intelligence prediction models GS Collins, KGM Moons The Lancet 393 (10181), 1577-1579, 2019	635	2019

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