activity
20202025
collaborators

6 papers

math.NT2025

Variants of Romanoff's theorem

Artyom Radomskii

Let and be two sequences of positive integers (not necessarily distinct). Under some restrictions on $…

stat.AP2025

Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models

Paul N Zivich, Bonnie E Shook-Sa, Stephen R Cole +2

Introduction: Accounting for missing data by imputing or weighting conditional on covariates relies on the variable with missingness being observed at least some of the time for al…

stat.ME2024

Double Robust Variance Estimation with Parametric Working Models

Bonnie E. Shook-Sa, Paul N. Zivich, Chanhwa Lee +5

Doubly robust estimators have gained popularity in the field of causal inference due to their ability to provide consistent point estimates when either an outcome or exposure model…

stat.ME2024

Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation

Justin B. DeMonte, Bonnie E. Shook-Sa, Michael G. Hudgens

Observational data are frequently used to evaluate real-world vaccine effectiveness (VE). For vaccines such as those developed against COVID-19, VE may vary over calendar time beca…

stat.ME2023

Synthesis estimators for positivity violations with a continuous covariate

Paul N Zivich, Jessie K Edwards, Bonnie E Shook-Sa +3

Studies intended to estimate the effect of a treatment, like randomized trials, may not be sampled from the desired target population. To correct for this discrepancy, estimates ca…

stat.AP2020

Power and Sample Size for Marginal Structural Models

Bonnie E. Shook-Sa, Michael G. Hudgens

Marginal structural models fit via inverse probability of treatment weighting are commonly used to control for confounding when estimating causal effects from observational data. W…