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Overview
Lucy uses statistics to solve real-world problems. Her research focuses on causal inference, analytic design theory, and statistical communication.
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Symmetric vaccine efficacy
Traditional measures of vaccine efficacy (VE) are inherently asymmetric, constrained above by 1 but unbounded below. As a result, VE estimates and corresponding confidence intervals (CIs) can extend far below zero, making interpretation difficult and pote
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How to do your own online health research like a scientist -a biostatistician's step-by-step guide
Here's how to sift through complicated studies without getting overwhelmed.
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Using large language models to enhance clinically-driven missing data recovery algorithms in electronic health records
Objectives Electronic health record (EHR) data are prone to missingness and errors. Previously, we devised an enriched chart review protocol where a "roadmap" of auxiliary diagnoses was used to recover missing values. Still, chart reviews are expensive an
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Partitioned Local Depth (PaLD) Community Analyses in R
Partitioned Local Depth (PaLD) is a framework for holistic consideration of community structure for distance-based data. This paper describes an R package, pald, for calculating Partitioned Local Depth (PaLD) probabilities, implementing community analyses
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Using Mathlink Cubes to Introduce Data Wrangling with Examples in R
This article explores an innovative approach to teaching data wrangling skills to students through hands-on activities before transitioning to coding. Data wrangling, a critical aspect of data analysis, involves cleaning, transforming, and restructuring d
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