activity
20232026
most citedBehavior of prediction performance metrics with rare events

4 citations · 8 across the 7 of their papers we have counts for

collaborators

8 papers

stat.ME2026

Marginal generalized raking with parametric working models

Brian D Williamson, Runjia Zou, Thomas Lumley +2

Generalized raking (GR) was originally developed in the survey statistics literature to incorporate auxiliary information in estimation. Recently, it has been used in the biostatis…

stat.ME2026

De-meaning Simulation Studies

Thomas Lumley, Brian Williamson, Pamela Shaw

In simulation studies evaluating asymptotic approximations it is common practice to report averages and standard deviations over repeated simulations. We argue that quantile-based…

stat.ME2026

Performance of weakly-supervised electronic health record-based phenotyping methods in rare-outcome settings

Yunjing Hong, Jennifer C. Nelson, Brian D. Williamson

Accurately identifying patients with specific medical conditions is a key challenge when using clinical data from electronic health records. Our objective was to comprehensively as…

stat.ME2026★ 1 cited

Efficient Targeted Maximum Likelihood Estimators for Two-Phase Design Problems

Sky Qiu, Susan Gruber, Pamela A. Shaw +2

In a typical two-phase design, a random sample is drawn from the target population in phase 1, during which only a subset of variables is collected. In phase 2, a subsample of the…

stat.ME2025

A cautionary note for plasmode simulation studies in the setting of causal inference

Pamela A Shaw, Susan Gruber, Brian D. Williamson +5

Plasmode simulation has become an important tool for evaluating the operating characteristics of different statistical methods in complex settings, such as pharmacoepidemiological…

stat.ML2025★ 4 cited

Behavior of prediction performance metrics with rare events

Emily Minus, R. Yates Coley, Susan M. Shortreed +1

Objective: Area under the receiving operator characteristic curve (AUC) is commonly reported alongside prediction models for binary outcomes. Recent articles have raised concerns t…

stat.ME2024★ 3 cited

Assessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data methods

Brian D. Williamson, Chloe Krakauer, Eric Johnson +13

In pharmacoepidemiology, safety and effectiveness are frequently evaluated using readily available administrative and electronic health records data. In these settings, detailed co…

stat.ME2023

Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention

Brian D. Williamson, Erica E. M. Moodie, Gregory E. Simon +2

Risk of suicide attempt varies over time. Understanding the importance of risk factors measured at a mental health visit can help clinicians evaluate future risk and provide approp…