A structural nested rate model for estimating the effects of time-varying exposure on recurrent events

February 26
12-1pm
708 Broadway, Room 801 & Online

Hosted by the Department of Biostatistics

Speaker: Ashkan Ertefaie, PhD

The objective of this research is to estimate both the short-term and delayed marginal causal effects of exposures on recurrent events while addressing the bias of a potentially correlated terminal event. Existing estimators based on marginal structural models and proportional rate models are unsuitable for estimating delayed marginal causal effects for several reasons; furthermore, they fail to account for competing risks associated with a terminating event.

This event is open to the NYU Community only (current students, faculty, and staff) for in person attendance. The general public will only be allowed to participate virtually.

Academic Department
Biostatistics
NYU School of Global Public Health
708 Broadway
New York, NY 10003

Donate to GPH

Make a gift to the GPH Annual Fund

New York University

Equal Opportunity and Non-Discrimination at NYU - New York University is committed to maintaining an environment that encourages and fosters respect for individual values and appropriate conduct among all persons. In all University spaces—physical and digital—programming, activities, and events are carried out in accordance with applicable law as well as University policy, which includes but is not limited to its Non-Discrimination and Anti-Harassment Policy. Unless otherwise noted, all content copyright New York University. All Rights Reserved.