5 papers · 1 filter
Proximal Learning for Trials With External Controls: A Case Study in HIV Prevention
Yilin Song, Yinxiang Wu, Raphael J. Landovitz +9
With the advent of effective pre-exposure prophylaxis agents, active-controlled HIV prevention trials have become a common study design. Nevertheless, estimating absolute efficacy…
Cumulative/Dynamic Time-Dependent ROC Analysis for Left-Truncated and Right-Censored Data: Estimators and Comparison
Kendrick Li, Mithun Kumar Acharjee
Time-dependent Receiver Operating Characteristics (ROC) analysis is a standard method to evaluate the discriminative performance of biomarkers or risk scores for time-to-event outc…
Identification and estimation of vaccine effectiveness in the test-negative design under equi-confounding
Christopher B. Boyer, Kendrick Qijun Li, Xu Shi +1
The test-negative design (TND) is widely used to evaluate vaccine effectiveness in real-world settings. In a TND study, individuals with similar symptoms who seek care are tested,…
Correcting nonignorable nonresponse bias in turnout estimation using callback data
Xinyu Li, Naiwen Ying, Kendrick Qijun Li +2
Overestimation of turnout has long been an issue in election surveys, with nonresponse bias or voter overrepresentation identified as major sources of bias. However, adjusting for…
Regression-based proximal causal inference for right-censored time-to-event data
Kendrick Li, George C. Linderman, Xu Shi +1
Unmeasured confounding is one of the major concerns in causal inference from observational data. Proximal causal inference (PCI) is an emerging methodological framework to detect a…