16 citations · 16 across the 5 of their papers we have counts for
7 papers
Symmetric Vaccine Efficacy
Lucy D'Agostino McGowan, Sarah C. Lotspeich, Michael G. Hudgens
Traditional measures of vaccine efficacy (VE) are inherently asymmetric, constrained above by but unbounded below. As a result, VE estimates and corresponding confidence interv…
On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
Sarah C. Lotspeich, Abbey Collins, Brian J. Wells +3
Objective: Electronic health records (EHR) data are prone to missingness and errors. Previously, we devised an "enriched" chart review protocol where a "roadmap" of auxiliary diagn…
Using Mathlink Cubes to Introduce Data Wrangling with Examples in R
Lucy D'Agostino McGowan
This paper explores an innovative approach to teaching data wrangling skills to students through hands-on activities before transitioning to coding. Data wrangling, a critical aspe…
The `Why' behind including `Y' in your imputation model
Lucy D'Agostino McGowan, Sarah C. Lotspeich, Staci A. Hepler
Missing data is a common challenge when analyzing epidemiological data, and imputation is often used to address this issue. Here, we investigate the scenario where a covariate used…
Power and sample size calculations for testing the ratio of reproductive values in phylogenetic samples
Lucy D'Agostino McGowan, Shirlee Wohl, Justin Lessler
The quality of the inferences we make from pathogen sequence data is determined by the number and composition of pathogen sequences that make up the sample used to drive that infer…
Quantifying Uncertainty in Infectious Disease Mechanistic Models
Lucy D'Agostino McGowan, Kyra H. Grantz, Eleanor Murray
This primer describes the statistical uncertainty in mechanistic models and provides R code to quantify it. We begin with an overview of mechanistic models for infectious disease,…