9 citations · 15 across the 10 of their papers we have counts for
11 papers
The RobinCar Family: R Tools for Robust Covariate Adjustment in Randomized Clinical Trials
Marlena Bannick, Yuanyuan Bian, Gregory Chen +6
Purpose: Covariate adjustment is a powerful statistical technique that can increase efficiency in clinical trials. Recent guidance from the U.S. FDA provided recommendations and be…
Estimating HIV Cross-sectional Incidence Using Recency Tests from a Non-representative Sample
Jianan Pan, Marlena Bannick, Fei Gao
Cross-sectional incidence estimation based on recency testing has become a widely used tool in HIV research. Recently, this method has gained prominence in HIV prevention trials to…
Robust Nonparametric Stochastic Frontier Analysis
Peng Zheng, Nahom Worku, Marlena Bannick +4
Benchmarking tools, including stochastic frontier analysis (SFA), data envelopment analysis (DEA), and its stochastic extension (StoNED) are core tools in economics used to estimat…
An Enhanced Cross-Sectional HIV Incidence Estimator that Incorporates Prior HIV Test Results
Marlena Bannick, Deborah Donnell, Richard Hayes +2
Incidence estimation of HIV infection can be performed using recent infection testing algorithm (RITA) results from a cross-sectional sample. This allows practitioners to understan…
Improved convergence rates of nonparametric penalized regression under misspecified total variation
Marlena S. Bannick, Noah Simon
Penalties that induce smoothness are common in nonparametric regression. In many settings, the amount of smoothness in the data generating function will not be known. Simon and Sho…
A General Form of Covariate Adjustment in Randomized Clinical Trials
Marlena S. Bannick, Jun Shao, Jingyi Liu +3
In randomized clinical trials, adjusting for baseline covariates can improve credibility and efficiency for demonstrating and quantifying treatment effects. This article studies th…
Robust Variance Estimation for Covariate-Adjusted Unconditional Treatment Effect in Randomized Clinical Trials with Binary Outcomes
Ting Ye, Marlena Bannick, Yanyao Yi +1
To improve precision of estimation and power of testing hypothesis for an unconditional treatment effect in randomized clinical trials with binary outcomes, researchers and regulat…
Accounting for Inconsistent Use of Covariate Adjustment in Group Sequential Trials
Marlena S. Bannick, Sonya L. Heltshe, Noah Simon
Group sequential designs in clinical trials allow for interim efficacy and futility monitoring. Adjustment for baseline covariates can increase power and precision of estimated eff…
Retrospective, Observational Studies for Estimating Vaccine Effects on the Secondary Attack Rate of SARS-CoV-2
Marlena S. Bannick, Fei Gao, Elizabeth R. Brown +1
COVID-19 vaccines are highly efficacious at preventing symptomatic infection, severe disease, and death. Most of the evidence that COVID-19 vaccines also reduce transmission of SAR…
Analysis and Methods to Mitigate Effects of Under-reporting in Count Data
Jennifer Brennan, Marlena Bannick, Nicholas Kassebaum +4
Under-reporting of count data poses a major roadblock for prediction and inference. In this paper, we focus on the Pogit model, which deconvolves the generating Poisson process fro…
Statistical Considerations for Cross-Sectional HIV Incidence Estimation Based on Recency Test
Fei Gao, Marlena S. Bannick
Longitudinal cohorts to determine the incidence of HIV infection are logistically challenging, so researchers have sought alternative strategies. Recency test methods use biomarker…