8 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…
Predicting Hospitalization from a Whole-Person Health Score with Incomplete Electronic Health Records Data: A Case Study
Grayson E. Weavil, Joseph Rigdon, Sarah C. Lotspeich
Embedding a standardized whole-person health measure in electronic health records (EHR) could be instrumental to preventative care. The allostatic load index (ALI), calculated from…
Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases
Sarah C. Lotspeich, Cole Manschot
Two-phase sampling offers a cost-effective way to validate error-prone covariate measurements in biomedical databases. Inexpensive or easy-to-obtain information is collected for th…
Correcting for Missing Data When Evaluating Surrogate Markers in a Clinical Trial
Sarah C. Lotspeich, P. D. Anh. Nguyen, Layla Parast
Evaluating treatment effects is critical in clinical trials but sometimes involves lengthy, invasive, or costly follow-up procedures. In these cases, surrogate markers, which provi…
Linking Potentially Misclassified Healthy Food Access to Diabetes Prevalence
Ashley E. Mullan, P. D. Anh Nguyen, Sarah C. Lotspeich
Access to healthy food is key to maintaining a healthy lifestyle and can be quantified by the distance to the nearest grocery store. However, calculating this distance forces a tra…
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…