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University of Cambridge > Talks.cam > MRC Biostatistics Unit Seminars > BSU Seminar: 'From Data to Decisions: Causal Inference Motivated by Policy Questions'
BSU Seminar: 'From Data to Decisions: Causal Inference Motivated by Policy Questions'Add to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Alison Quenault. This will be a free hybrid seminar. To register to attend virtually, please click on this link: https://us02web.zoom.us/meeting/register/tZwodOytqjItGNL_he9tZXSxmdT7KTWWQRgF Investigators often express interest in effects that quantify the mechanism by which a treatment (exposure) affects an outcome. In this presentation, I will discuss how to formulate and choose effects that quantify mechanisms, beyond conventional average causal effects. I will consider the perspective of a decision maker, such as a patient, doctor or drug developer. I will emphasise that a careful articulation of a practically useful research question should either map to decision making at this point in time or in the future. A common feature of effects that are practically useful is that they correspond to possibly hypothetical but well-defined interventions in identifiable (sub)populations. To illustrate my points, I will consider examples that were recently used to motivate consideration of mechanistic effects in medical studies. In all of these examples, I will suggest different causal effects that correspond to explicit research questions of practical interest. This talk is part of the MRC Biostatistics Unit Seminars series. This talk is included in these lists:
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