Gary S. Collins
Gary S. Collins
Professor of Medical Statistics, Centre for Statistics in Medicine, University of Oxford
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Justify your alpha
D Lakens, FG Adolfi, CJ Albers, F Anvari, MAJ Apps, SE Argamon, ...
Nature human behaviour 2 (3), 168-171, 2018
Reporting of artificial intelligence prediction models
GS Collins, KGM Moons
The Lancet 393 (10181), 1577-1579, 2019
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