Gary S. Collins 人物

Gary S. Collins · 相关论文

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

2015BMJ引用 3928

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

2019Journal of Clinical Epidemiology引用 1886

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

2020BMJ引用 1028

Quantifier elimination for real closed fields by cylindrical algebraic decomposition

1975Medical Entomology and Zoology引用 902

Sample size for binary logistic prediction models: Beyond events per variable criteria

2018Statistical Methods in Medical Research引用 734

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

2016BMJ引用 550

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

2016Journal of Clinical Epidemiology引用 514

Evaluation of clinical prediction models (part 1): from development to external validation

2024BMJ引用 484

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

2022Nature Medicine引用 468

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

2020BMJ引用 465