Integrating information from similar data sites when developing clinical prediction models for patients from a target site (A01)

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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.