most citedTailoring Capture-Recapture Methods to Estimate Registry-Based Case Counts Based on Error-Prone Diagnostic Signals

6 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023

Utilizing a Capture-Recapture Strategy to Accelerate Infectious Disease Surveillance

Lin Ge, Yuzi Zhang, Lance A. Waller +1

Monitoring key elements of disease dynamics (e.g., prevalence, case counts) is of great importance in infectious disease prevention and control, as emphasized during the COVID-19 p…

stat.AP2023

On some pitfalls of the log-linear modeling framework for capture-recapture studies in disease surveillance

Yuzi Zhang, Lin Ge, Lance A. Waller +1

In epidemiological studies, the capture-recapture (CRC) method is a powerful tool that can be used to estimate the number of diseased cases or potentially disease prevalence based…

stat.ME2023★ 3 cited

Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors

Lin Ge, Yuzi Zhang, Lance A. Waller +1

Epidemiologic screening programs often make use of tests with small, but non-zero probabilities of misdiagnosis. In this article, we assume the target population is finite with a f…

stat.ME2022★ 4 cited

A Design and Analytic Strategy for Monitoring Disease Positivity and Case Characteristics in Accessible Closed Populations

Robert H. Lyles, Yuzi Zhang, Lin Ge +1

We propose a monitoring strategy for efficient and robust estimation of disease prevalence and case numbers within closed and enumerated populations such as schools, workplaces, or…

stat.ME2022★ 6 cited

Tailoring Capture-Recapture Methods to Estimate Registry-Based Case Counts Based on Error-Prone Diagnostic Signals

Lin Ge, Yuzi Zhang, Kevin C. Ward +3

Surveillance research is of great importance for effective and efficient epidemiological monitoring of case counts and disease prevalence. Taking specific motivation from ongoing e…