Table 1 Relevant issues in deriving evidence-supported state of the art guidance for multivariable modelling
No. | Item |
|---|---|
1 | Investigation and comparison of the properties of variable selection strategies |
2 | Comparison of spline procedures in both univariable and multivariable contexts |
3 | How to model one or more variables with a ‘spike-at-zero’? |
4 | Comparison of multivariable procedures for model and function selection |
5 | Role of shrinkage to correct for bias introduced by data-dependent modelling |
6 | Evaluation of new approaches for post-selection inference |
7 | Adaption of procedures for very large sample sizes needed? |