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Comment

. 2019 Dec:116:136-137.

doi: 10.1016/j.jclinepi.2019.08.003. Epub 2019 Aug 16.

Statistical thinking, machine learning

Jiang Bian¹, Iain Buchan², Yi Guo¹, Mattia Prosperi³

Affiliations

Affiliations

¹ Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
² Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
³ Department of Epidemiology, University of Florida, Gainesville, FL, USA. Electronic address: m.prosperi@ufl.edu.

PMID: 31425737
DOI: 10.1016/j.jclinepi.2019.08.003

Comment

Statistical thinking, machine learning

Jiang Bian et al. J Clin Epidemiol. 2019 Dec.

. 2019 Dec:116:136-137.

doi: 10.1016/j.jclinepi.2019.08.003. Epub 2019 Aug 16.

Authors

Jiang Bian¹, Iain Buchan², Yi Guo¹, Mattia Prosperi³

Affiliations

¹ Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
² Department of Public Health and Policy, University of Liverpool, Liverpool, UK.
³ Department of Epidemiology, University of Florida, Gainesville, FL, USA. Electronic address: m.prosperi@ufl.edu.

PMID: 31425737
DOI: 10.1016/j.jclinepi.2019.08.003

No abstract available

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Comment in

Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important).
Van Calster B, Verbakel JY, Christodoulou E, Steyerberg EW, Collins GS. Van Calster B, et al. J Clin Epidemiol. 2019 Dec;116:137-138. doi: 10.1016/j.jclinepi.2019.08.002. Epub 2019 Aug 16. J Clin Epidemiol. 2019. PMID: 31425736 No abstract available.

Comment on

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.
Christodoulou E, Ma J, Collins GS, Steyerberg EW, Verbakel JY, Van Calster B. Christodoulou E, et al. J Clin Epidemiol. 2019 Jun;110:12-22. doi: 10.1016/j.jclinepi.2019.02.004. Epub 2019 Feb 11. J Clin Epidemiol. 2019. PMID: 30763612

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