Developing and validating risk prediction models in an individual participant data meta-analysis.

ABSTRACT:

Background

Risk prediction models estimate the risk of developing future outcomes for individuals based on one or more underlying characteristics (predictors). We review how researchers develop and validate risk prediction models within an individual participant data (IPD) meta-analysis, in order to assess the feasibility and conduct of the approach.

Methods

A qualitative review of the aims, methodology, and reporting in 15 articles that developed a risk prediction model using IPD from multiple studies.

Results

The IPD approach offers many opportunities but methodological challenges exist, including: unavailability of requested IPD, missing patient data and predictors, and between-study heterogeneity in methods of measurement, outcome definitions and predictor effects

SUBMITTER: Ahmed I 

PROVIDER: S-EPMC3890557 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature