How much data are required to develop and validate a risk prediction model?
It has been suggested that when developing risk prediction models using regression, the number of events in the dataset should be at least 10 times the number of parameters being estimated by the model. This rule was originally proposed to ensure the unbiased estimation of regression coefficients wi...
| Main Author: | |
|---|---|
| Published: |
University College London (University of London)
2017
|
| Subjects: | |
| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.747107 |