activity
20152020
most citedCausal Effects in Twin Studies: the Role of Interference

3 citations · 3 across the 2 of their papers we have counts for

collaborators

6 papers

stat.ME20203 cited

Causal Effects in Twin Studies: the Role of Interference

Bonnie Smith, Elizabeth L. Ogburn, Matt McGue +2

The use of twins designs to address causal questions is becoming increasingly popular. A standard assumption is that there is no interference between twins---that is, no twin's exp…

stat.ME2020

Counterexamples to "The Blessings of Multiple Causes" by Wang and Blei

Elizabeth L. Ogburn, Ilya Shpitser, Eric J. Tchetgen Tchetgen

This note has been updated (April, 2020) to respond to "Towards Clarifying the Theory of the Deconfounder" by Yixin Wang, David M. Blei (arXiv:2003.04948). This original note, post…

stat.ME2019

Comment on "Blessings of Multiple Causes"

Elizabeth L. Ogburn, Ilya Shpitser, Eric J. Tchetgen Tchetgen

(This comment has been updated to respond to Wang and Blei's rejoinder [arXiv:1910.07320].) The premise of the deconfounder method proposed in "Blessings of Multiple Causes" by Wan…

stat.AP2019

Network Dependence Can Lead to Spurious Associations and Invalid Inference

Youjin Lee, Elizabeth L. Ogburn

Researchers across the health and social sciences generally assume that observations are independent, even while relying on convenience samples that draw subjects from one or a sma…

stat.AP2017

Challenges to estimating contagion effects from observational data

Elizabeth L. Ogburn

A growing body of literature attempts to learn about contagion using observational (i.e. non-experimental) data collected from a single social network. While the conclusions of the…

stat.ME2015

Incorporating Contact Network Structure in Cluster Randomized Trials

Patrick C. Staples, Elizabeth L. Ogburn, Jukka-Pekka Onnela

Whenever possible, the efficacy of a new treatment, such as a drug or behavioral intervention, is investigated by randomly assigning some individuals to a treatment condition and o…