Recalibrating prognostic models to improve predictions of in-hospital child mortality in resource-limited settings.

ABSTRACT:

Background

In an external validation study, model recalibration is suggested once there is evidence of poor model calibration but with acceptable discriminatory abilities. We identified four models, namely RISC-Malawi (Respiratory Index of Severity in Children) developed in Malawi, and three other predictive models developed in Uganda by Lowlaavar et al. (2016). These prognostic models exhibited poor calibration performance in the recent external validation study, hence the need for recalibration.

Objective

In this study, we aim to recalibrate these models using regression coefficients updating strategy and determine how much their performances improve.

Methods

We used data collected by the Clinical Information Network from paediatric wards of 20 public county referra

SUBMITTER: Ogero M 

PROVIDER: S-EPMC10946771 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature