Quantitative prediction error analysis to investigate predictive performance under predictor measurement heterogeneity at model implementation.

ABSTRACT:

Background

When a predictor variable is measured in similar ways at the derivation and validation setting of a prognostic prediction model, yet both differ from the intended use of the model in practice (i.e., "predictor measurement heterogeneity"), performance of the model at implementation needs to be inferred. This study proposed an analysis to quantify the impact of anticipated predictor measurement heterogeneity.

Methods

A simulation study was conducted to assess the impact of predictor measurement heterogeneity across validation and implementation setting in time-to-event outcome data. The use of the quantitative prediction error analysis was illustrated using an example of predicting the 6-year risk of developing type 2 diabetes with heterogeneity in measurement of th

SUBMITTER: Luijken K 

PROVIDER: S-EPMC8988417 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature