User profiles for "author:Gary S Collins"

Gary S. Collins

Professor of Medical Statistics, Centre for Statistics in Medicine, University of Oxford
Verified email at csm.ox.ac.uk
Cited by 50939

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

L Wynants, B Van Calster, GS Collins, RD Riley… - bmj, 2020 - bmj.com
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …

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

GS Collins, JB Reitsma, DG Altman… - Annals of internal …, 2015 - acpjournals.org
Prediction models are developed to aid health care providers in estimating the probability or
risk that a specific disease or condition is present (diagnostic models) or that a specific event …

[HTML][HTML] Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

X Liu, SC Rivera, D Moher, MJ Calvert… - The Lancet Digital …, 2020 - thelancet.com
The CONSORT 2010 statement provides minimum guidelines for reporting randomised
trials. Its widespread use has been instrumental in ensuring transparency in the evaluation …

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration

KGM Moons, DG Altman, JB Reitsma… - Annals of internal …, 2015 - acpjournals.org
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the …

[HTML][HTML] Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

SC Rivera, X Liu, AW Chan, AK Denniston… - The Lancet Digital …, 2020 - thelancet.com
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol
reporting by providing evidence-based recommendations for the minimum set of items to be …

PROBAST: a tool to assess the risk of bias and applicability of prediction model studies

RF Wolff, KGM Moons, RD Riley, PF Whiting… - Annals of internal …, 2019 - acpjournals.org
Clinical prediction models combine multiple predictors to estimate risk for the presence of a
particular condition (diagnostic models) or the occurrence of a certain event in the future …

[HTML][HTML] Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist

KGM Moons, JAH de Groot, W Bouwmeester… - PLoS …, 2014 - journals.plos.org
Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling
Studies: The CHARMS Checklist | PLOS Medicine Skip to main content Advertisement …

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

E Christodoulou, J Ma, GS Collins… - Journal of clinical …, 2019 - Elsevier
Objectives The objective of this study was to compare performance of logistic regression
(LR) with machine learning (ML) for clinical prediction modeling in the literature. Study …

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 …

S Safiri, K Carson-Chahhoud, M Noori… - Bmj, 2022 - bmj.com
Objective To report the global, regional, and national burden of chronic obstructive
pulmonary disease (COPD) and its attributable risk factors between 1990 and 2019, by age …

[HTML][HTML] Burden of anemia and its underlying causes in 204 countries and territories, 1990–2019: results from the Global Burden of Disease Study 2019

S Safiri, AA Kolahi, M Noori, SA Nejadghaderi… - Journal of hematology & …, 2021 - Springer
Background Anemia is a common disease which affects around 40% of children and 30% of
reproductive age women and can have major health consequences. The present study …