6 citations · 6 across the 8 of their papers we have counts for
8 papers
Plasmode simulation for the evaluation of causal inference methods in homophilous social networks
Vanessa McNealis, Erica E. M. Moodie, Nema Dean
Typical simulation approaches for evaluating the performance of statistical methods on populations embedded in social networks may fail to capture important features of real-world…
Joint mixed-effects models for causal inference in clustered network-based observational studies
Vanessa McNealis, Erica E. M. Moodie, Nema Dean
Causal inference on populations embedded in social networks poses technical challenges, since the typical no interference assumption frequently does not hold. Existing methods deve…
Estimating hidden population size from a single respondent-driven sampling survey
Mamadou Yauck, Erica EM Moodie, Alain Fourmigue +4
This work is concerned with the estimation of hard-to-reach population sizes using a single respondent-driven sampling (RDS) survey, a variant of chain-referral sampling that lever…
The impact of directly observed therapy on the efficacy of Tuberculosis treatment: A Bayesian multilevel approach
Widemberg S. Nobre, Alexandra M. Schmidt, Erica E. M. Moodie +1
We propose and discuss a Bayesian procedure to estimate the average treatment effect (ATE) for multilevel observations in the presence of confounding. We focus on situations where…
Bayesian inference for optimal dynamic treatment regimes in practice
Daniel Rodriguez Duque, Erica E. M. Moodie, David A. Stephens
In this work, we examine recently developed methods for Bayesian inference of optimal dynamic treatment regimes (DTRs). DTRs are a set of treatment decision rules aimed at tailorin…
A time-dependent Poisson-Gamma model for recruitment forecasting in multicenter studies
Armando Turchetta, Nicolas Savy, David A. Stephens +2
Forecasting recruitments is a key component of the monitoring phase of multicenter studies. One of the most popular techniques in this field is the Poisson-Gamma recruitment model,…