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Found 3 papers, 3 papers with code
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
In this article, we describe a transfer learning approach for building high-dimensional generalized linear models using data from a main study that has detailed information on all predictors, and from one or more external studies that have ascertained a more limited set of predictors.
Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models
Objective: Absolute risk models estimate an individual's future disease risk over a specified time interval.
Generalized Meta-Analysis for Multiple Regression Models Across Studies with Disparate Covariate Information
We propose developing a generalized meta-analysis approach for combining information on multivariate regression parameters across multiple different studies which have varying level of covariate information.
Methodology
