An algorithm to assess importance of predictors in systematic reviews of prediction models: a case study with simulations.

ABSTRACT:

Background

How to assess the importance of predictors in systematic reviews (SR) of prediction models remains largely unknown. The commonly used indicators of importance for predictors in individual models include parameter estimates, information entropy, etc., but they cannot be quantitatively synthesized through meta-analysis.

Methods

We explored the synthesis method of the importance indicators in a simulation study, which mainly solved the following four methodological issues: (1) whether to synthesize the original values of the importance indicators or the importance ranks; (2) whether to normalize the importance ranks to a same dimension; (3) whether and how to impute the missing values in importance ranks; and (4) whether to weight the importance indicators according

SUBMITTER: Yan R 

PROVIDER: S-EPMC11827416 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature