User profiles for "author:Gary S Collins"
Gary S. CollinsProfessor 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
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 …
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 …
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
The CONSORT 2010 statement provides minimum guidelines for reporting randomised
trials. Its widespread use has been instrumental in ensuring transparency in the evaluation …
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 …
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
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 …
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 …
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 …
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
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 …
(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 …
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 …
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
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 …
reproductive age women and can have major health consequences. The present study …