53 citations · 99 across the 8 of their papers we have counts for
9 papers
Evaluating Spillover Effects in Network-Based Studies In the Presence of Missing Outcomes
TingFang Lee, Ashley L. Buchanan, Natallia Katenka +3
Estimating causal effects in the presence of spillover among individuals embedded within a social network is often challenging with missing information. The spillover effect is the…
Using Case Description Information to Reduce Sensitivity to Bias for the Attributable Fraction Among the Exposed
Kan Chen, Jing Cheng, M. Elizabeth Halloran +1
The attributable fraction among the exposed (\textbf{AF}), also known as the attributable risk or excess fraction among the exposed, is the proportion of disease cases among th…
Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People Who Inject Drugs
TingFang Lee, Ashley L. Buchanan, Natallia V. Katenka +4
Evaluating causal effects in the presence of interference is challenging in network-based studies of hard-to-reach populations. Like many such populations, people who inject drugs…
Inferring high-resolution human mixing patterns for disease modeling
Dina Mistry, Maria Litvinova, Ana Pastore y Piontti +12
Mathematical and computational modeling approaches are increasingly used as quantitative tools in the analysis and forecasting of infectious disease epidemics. The growing need for…
Estimands and Inference in Cluster-Randomized Vaccine Trials
Kayla W. Kilpatrick, Michael G. Hudgens, M. Elizabeth Halloran
Cluster-randomized trials are often conducted to assess vaccine effects. Defining estimands of interest before conducting a trial is integral to the alignment between a study's obj…
Comparing Biomarkers as Trial Level General Surrogates
Erin E. Gabriel, Michael J. Daniels, M. Elizabeth Halloran
An intermediate response measure that accurately predicts efficacy in a new setting can reduce trial cost and time to product licensure. In this paper, we define a trial level gene…