This is one of those articles where you have to restrain yourself. Its message, that good old statistical tools like logistic regression can perform as well as these new fangled machine learning approaches that you haven’t taken the time to learn, is quite tempting. But I’d be cautious here. Maybe logistic regression is still competitive, but maybe the systematic overview got a bunch of biased studies. It’s worthwhile to cite this whenever someone makes an overly strong claim about machine learning models, but don’t use this as an excuse to keep from learning the new stuff yourself. This article is stuck behind a paywall. Sorry!

Evangelia Christodoulou, Jie Ma, Gary S. Collins, Ewout W. Steyerberg, Jan Y. Verbakel, Ben Van Calster, A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models, Journal of Clinical Epidemiology, Volume 110, 2019, Pages 12-22. DOI: 10.1016/j.jclinepi.2019.02.004. (http://www.sciencedirect.com/science/article/pii/S0895435618310813)

This Research Grants was added to the website on 2019-03-15 and was last modified on 2020-02-29. You can find similar pages at Big data, Logistic regression, Systematic overviews.

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