Author

Jeong-Min Lee

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Preprint Sep 2026

Variable Selection for Infectious Disease Transmission via Penalized Pairwise Accelerated Failure Time Models

In infectious disease transmission, regression and variable selection for time-to-event outcomes are complicated by transmission-induced dependence that violates standard independence assumptions. Pairwise survival analysis addresses this dependence by modeling contact intervals in ordered pairs, defined as the time fr...

Jeong-Min Lee, Patrick M. Schnell, G. Rempała et al. · 0 citations

Preprint Sep 2026

Kalman Filtering and Smoothing for Improving Precision in Horvitz--Thompson Estimation of Infectious Disease Prevalence

Horvitz--Thompson (HT) estimators can provide unbiased daily estimates of infectious disease prevalence under repeated surveillance by correcting for nonrandom testing induced by scheduled, symptom-based, and contact-tracing components. However, because each HT estimate is based on the testing data available for that d...

Jeong-Min Lee, G. Rempała, Patrick M. Schnell · 0 citations

Open access Sep 2026

A counterfactual framework for estimating infectious disease prevalence under repeated testing with symptomatic and contact-tracing components

A counterfactual framework is developed that links the observation process to a hypothetical process in which infection is prevented, and enables unbiased estimation of disease prevalence by modeling the testing process, possibly nonparametrically, without requiring explicit modeling of transmission dynamics.

Jeong-Min Lee, Jun-Ke Yang, G. Rempała et al. · Annals of Applied Statistics · 1 citation