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Comparative Evaluation of Automated Approaches for Confounder Selection in High-Dimensional Data with Rare Outcomes

    Basic Details
    Date
    Type
    Presentation
    Description

    ​​​​​This presentation explores the performance of several lasso-based methods for large-scale confounder selection in ultra high-dimensional data with rare outcomes using simulated datasets. It was presented at the 38th International Conference on Pharmacoepidemiology and Therapeutic Risk Management. 

    Presenter(s)

    Richard Wyss