There are several rules of thumb out there about how many subjects that you need for a multiple linear regression model. Most of these rules look at the ratio of subjects per variable (SPV). If you have 100 subjects and 20 independent variables in your regression model
- then the SPV is 5. This article comes to the surprising conclusion that an SPV of 2 is just fine. In other words
- you could have 40 subjects and 20 independent variables and still be okay. This is independent of power considerations
- by the way
- but it still seems rather small to me. Read the paper yourself and let me know what you think.
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Austin PC
- Steyerberg EW. The number of subjects per variable required in linear regression analyses. Journal of Clinical Epidemiology 2015, 68(6):627-636. Available at http://europepmc.org/abstract/med/25704724.
