Jun Zhang of the Department of Biostatistics defends her dissertation on "Interpretable Analysis of Multivariate Functional Data".
The Joint Statistical Meetings, known simply as "JSM", is the largest gathering of statisticians held annually in North American. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations. Our students often receive top awards and participate in the affiliated career marketplace at the event.
Meetings of the Eastern North American Region of the International Biometric Society (a.k.a. "ENAR meetings") are held in late March or early April each year and reflect the broad interests of the Society, including both quantitative techniques and application areas. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations.
G Computation for Estimating the Per Protocol Effect of Aspirin on Pregnancy Outcomes
While randomized trials are often considered to be the "gold standard" for estimating treatment effects, they are subject to complications when participants do not comply with assigned treatment categories. Non-compliance with study protocol is particularly challenging to deal with in pragmatic trials, when treatment consists of a series of actions over a long period. Standard "as treated" or "per protocol" approaches can be inconsistent due to post-randomization confounding and selection bias. Here, we show how the g computation algorithm (Robins 1986 Mathematical Modelling; 7:1393-1512) can be used to estimate per protocol effects in the presence of time-dependent post-randomization confounding using data from a trial of the effect of low dose aspirin on pregnancy outcomes.
Last Updated On Monday, April 8, 2019 by Tang, Lu
Created On Monday, January 7, 2019
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