An Introduction to Negative Control and Proximal Causal Learning

    Event Information
    Date
    Friday, January 28, 2022
    Time
    Time
    3:00pm - 4:00pm EST
    Event Type
    Webinar
    Event Location
    Virtual
    Description

    Negative controls are auxiliary variables not causally associated with the treatment or outcome of interest. In this talk, we first introduce a formal negative control study design and summarize existing negative control methods for detection, reduction, and correction of unmeasured confounding bias. We then introduce the proximal causal learning framework, a generalization of negative controls, which offers an opportunity to learn about causal effects when exchangeability based on measured covariates fails by formally accounting for the covariate measurements as imperfect proxies of underlying confounding mechanisms.

    Event Materials

    View a recording of the webinar here.

    View the presentation of the webinar here.

     

    Presenter(s)

    Xu Shi, PhD