Integrating information from similar data sites when developing clinical prediction models for patients from a target site
(A01)
Subject Area
Mathematics
Epidemiology and Medical Biometry/Statistics
Term
since 2023
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 499552394
The project will provide methodology based on weighting of similar data from external sites in a prediction model for a target site. We will investigate different strategies for quantifying similarity, including 1) propensity score-based approaches, 2) similarity quantified parametrically as well as nonparametrically via the difference between the conditional empirical distribution of the outcome given the covariates per site, and 3) a deep learning approach. Besides empirical evaluation, we will provide comprehensive mathematical theory on the parameter estimates of corresponding regression models.
DFG Programme
Collaborative Research Centres
