Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy
The handling of missing data is a challenge for inference and regression modelling. A particular challenge is dealing with missing predictor information, particularly when trying to build and make predictions ...
Source: BMC Medical Informatics and Decision Making - Category: Information Technology Authors: Pedro Cardoso, John M. Dennis, Jack Bowden, Beverley M. Shields and Trevelyan J. McKinley Tags: Research Source Type: research