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)
