4 papers
Variable Selection for Infectious Disease Transmission via Penalized Pairwise Accelerated Failure Time Models
Jeongjin Lee, Patrick M. Schnell, Grzegorz A. Rempala +1
In infectious disease transmission, regression and variable selection for time-to-event outcomes are complicated by transmission-induced dependence that violates standard independe…
A Counterfactual Framework for Estimating Infectious Disease Prevalence under Repeated Testing with Symptomatic and Contact-Tracing Components
Jeongjin Lee, Junke Yang, Grzegorz A. Rempala +1
This paper addresses the problem of estimating infectious disease prevalence under longitudinal testing programs that include scheduled, symptomatic, and contact-tracing testing. O…
Kalman Filtering and Smoothing for Improving Precision in Horvitz--Thompson Estimation of Infectious Disease Prevalence
Jeongjin Lee, Grzegorz A. Rempala, Patrick M. Schnell
Horvitz--Thompson (HT) estimators can provide unbiased daily estimates of infectious disease prevalence under repeated surveillance by correcting for nonrandom testing induced by s…
Graphical tools for detection and control of selection bias with multiple exposures and samples
Patrick M. Schnell, Eben Kenah
Among recent developments in definitions and analysis of selection bias is the potential outcomes approach of Kenah (Epidemiology, 2023), which allows non-parametric analysis using…