6 papers
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
Kendrick Li, Mithun Kumar Acharjee, Yuyao Wang +4
Time-dependent Receiver Operating Characteristics (ROC) analysis is a standard method to evaluate the ability of a biomarker or predictive score to discriminate between cases and n…
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…
Bayesian Multiple Testing Under Sparsity for Polynomial-Tailed Distributions
Xueying Tang, Ke Li, Malay Ghosh
This paper considers Bayesian multiple testing under sparsity for polynomial-tailed distributions satisfying a monotone likelihood ratio property. Included in this class of distrib…