3 citations · 3 across the 4 of their papers we have counts for
9 papers · 1 filter
Monte Carlo Integration in Simple and Complex Simulation Designs
Ashley I. Naimi, David Benkeser, Jacqueline E. Rudolph
Simulation studies are used to evaluate and compare the properties of statistical methods in controlled experimental settings. In most cases, performing a simulation study requires…
Nonparametric Motion Control in Functional Connectivity Studies in Children with Autism Spectrum Disorder
Jialu Ran, Sarah Shultz, Benjamin B. Risk +1
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition associated with difficulties with social interactions, communication, and restricted or repetitive behaviors. To ch…
Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
Anna Guo, David Benkeser, Razieh Nabi
Evaluating causal treatment effects in observational studies requires addressing confounding. While the back-door criterion enables identification through adjustment for observed c…
Inference for natural mediation effects under case-cohort sampling with applications in identifying COVID-19 vaccine correlates of protection
David Benkeser, Iván Díaz, Jialu Ran
Combating the SARS-CoV2 pandemic will require the fast development of effective preventive vaccines. Regulatory agencies may open accelerated approval pathways for vaccines if an i…
Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials
Nima S. Hejazi, Mark J. van der Laan, Holly E. Janes +2
The advent and subsequent widespread availability of preventive vaccines has altered the course of public health over the past century. Despite this success, effective vaccines to…
Nonparametric inference for interventional effects with multiple mediators
David Benkeser
Understanding the pathways whereby an intervention has an effect on an outcome is a common scientific goal. A rich body of literature provides various decompositions of the total i…