40 citations · 62 across the 8 of their papers we have counts for
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stat.ME2021★ 3 cited
Adaptive normalization for IPW estimation
Samir Khan, Johan Ugander
Inverse probability weighting (IPW) is a general tool in survey sampling and causal inference, used both in Horvitz-Thompson estimators, which normalize by the sample size, and Háj…
stat.ME2020★ 5 cited
Randomized Graph Cluster Randomization
Johan Ugander, Hao Yin
The global average treatment effect (GATE) is a primary quantity of interest in the study of causal inference under network interference. With a correctly specified exposure model…
stat.ME2018
Evaluating stochastic seeding strategies in networks
Alex Chin, Dean Eckles, Johan Ugander
When trying to maximize the adoption of a behavior in a population connected by a social network, it is common to strategize about where in the network to seed the behavior, often…