Statistical concerns in the development of a prediction model

le Collins, Gary S
Foilsithe in Br J Radiol (2016)

COVID-19 Prediction Models Need Robust and Transparent Development

le Collins, Gary S.
Foilsithe in Disaster Med Public Health Prep (2021)

Predicting the risk of chronic kidney disease in the UK: an evaluation of QKidney® scores using a primary care database

le Collins, Gary, Altman, Douglas
Foilsithe 2012

Statistical issues in the development of COVID‐19 prediction models

le Collins, Gary S., Wilkinson, Jack
Foilsithe in J Med Virol (2020)

An independent external validation and evaluation of QRISK cardiovascular risk prediction: a prospective open cohort study

le Collins, Gary S, Altman, Douglas G
Foilsithe 2009

An independent and external validation of QRISK2 cardiovascular disease risk score: a prospective open cohort study

le Collins, Gary S, Altman, Douglas G
Foilsithe 2010

Predicting the 10 year risk of cardiovascular disease in the United Kingdom: independent and external validation of an updated version of QRISK2

le Collins, Gary S, Altman, Douglas G
Foilsithe 2012

Identifying patients with undetected pancreatic cancer in primary care: an independent and external validation of QCancer(®) (Pancreas)

le Collins, Gary S, Altman, Douglas G
Foilsithe 2013

Predicting risk of osteoporotic and hip fracture in the United Kingdom: prospective independent and external validation of QFractureScores

le Collins, Gary S, Mallett, Susan, Altman, Douglas G
Foilsithe 2011

Sample size considerations for the external validation of a multivariable prognostic model: a resampling study

le Collins, Gary S., Ogundimu, Emmanuel O., Altman, Douglas G.
Foilsithe in Stat Med (2015)

Adequate sample size for developing prediction models is not simply related to events per variable

le Ogundimu, Emmanuel O., Altman, Douglas G., Collins, Gary S.
Foilsithe in J Clin Epidemiol (2016)

A new community for those involved and interested in diagnosis and prognosis

le Moons, Karel G. M., Cook, Nancy, Collins, Gary
Foilsithe in Diagn Progn Res (2017)

COVID-19 prediction models should adhere to methodological and reporting standards

le Collins, Gary S., van Smeden, Maarten, Riley, Richard D.
Foilsithe in Eur Respir J (2020)

Flaws in the development and validation of a covid-19 prediction model

le Collins, Gary S, Riley, Richard D, van Smeden, Maarten
Foilsithe in Clin Infect Dis (2020)

Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting

le Collins, Gary S, Mallett, Susan, Omar, Omar, Yu, Ly-Mee
Foilsithe 2011

Exploration of Analysis Methods for Diagnostic Imaging Tests: Problems with ROC AUC and Confidence Scores in CT Colonography

le Mallett, Susan, Halligan, Steve, Collins, Gary S., Altman, Doug G.
Foilsithe 2014

Reporting guideline checklists are not quality evaluation forms: they are guidance for writing

le Logullo, Patricia, MacCarthy, Angela, Kirtley, Shona, Collins, Gary S.
Foilsithe in Health Sci Rep (2020)

Evaluating methodological quality of Prognostic models Including Patient-reported HeAlth outcomes iN oncologY (EPIPHANY): a systematic review protocol

le Deliu, Nina, Cottone, Francesco, Collins, Gary S, Anota, Amélie, Efficace, Fabio
Foilsithe in BMJ Open (2018)

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

le Collins, Gary S, Reitsma, Johannes B, Altman, Douglas G, Moons, Karel GM
Foilsithe in BMC Med (2015)

A systematic review of neonatal treatment intensity scores and their potential application in low-resource setting hospitals for predicting mortality, morbidity and estimating reso...

le Aluvaala, Jalemba, Collins, Gary S., Maina, Michuki, Berkley, James A., English, Mike
Foilsithe in Syst Rev (2017)