A simple pooling method for variable selection in multiply imputed datasets outperformed complex methods

A simple pooling method for variable selection in multiply imputed datasets outperformed complex methods

Abstract Background For the development of prognostic models, after multiple imputation, variable selection is advised to be applied from the pooled model. The aim of this study is to evaluate by using a simulation study and practical data example the performance of four different pooling methods fo...

Full description

Bibliographic Details
Main Authors: A. M. Panken, M. W. Heymans
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Medical Research Methodology
Subjects:
Logistic regression
Median-p-rule
Multiple imputation
Pooling selection methods
Variable selection
Online Access:https://doi.org/10.1186/s12874-022-01693-8

Internet

https://doi.org/10.1186/s12874-022-01693-8

Similar Items