Selection and Collider Restriction Bias Due to Predictor Availability in Prognostic Models

TL;DR

This paper discusses how predictor availability can introduce selection and collider restriction bias in prognostic models, affecting their validity and accuracy.

Contribution

It highlights the impact of predictor availability on bias in prognostic models and emphasizes the need to account for such biases in model development.

Findings

Predictor availability influences bias in prognostic models.

Selection bias can be introduced by predictor restrictions.

Collider bias affects model validity.

Abstract

This methodological note investigates and discuss possible selection and collider restriction bias due to predictor availability in prognostic models.