There was some discussion on another thread referring to this paper by Shmueli “To Explain or to Predict?” on the different uses of modelling:
This reminded me of this recent paper by John Carlin and Margarita Moreno-Betancur which covers the topic:
https://onlinelibrary.wiley.com/doi/full/10.1002/sim.10244
I thought I’d share this here: IMO this is a very useful paper for discussing the concept of different uses of regression models with non-statistician health researchers.
This has an accompanying commentary from several other statisticians (which I’ve only just found this morning, so the following is a bit of a link-fiesta, and I may post some comments another day when I’ve digested)
Sauerbrei et al: https://onlinelibrary.wiley.com/doi/10.1002/sim.10341
Greenland: https://onlinelibrary.wiley.com/doi/full/10.1002/sim.10313
Vansteelandt & Steen: https://onlinelibrary.wiley.com/doi/10.1002/sim.10312
Galit Shmueli: https://onlinelibrary.wiley.com/doi/full/10.1002/sim.10307
Nold & Heinze: https://onlinelibrary.wiley.com/doi/10.1002/sim.10284
Platt: https://onlinelibrary.wiley.com/doi/10.1002/sim.70000
And a rejoinder by Carlin and Moreno-Betancur: https://onlinelibrary.wiley.com/doi/10.1002/sim.70065