57 citations · 61 across the 5 of their papers we have counts for
5 papers
Convergence Rates for Neural-Network Estimation with Current-Status Data
Yuan Wu, Tianhui Zhou
Current-status data arise when an event time is observed only through an indicator of whether it occurred before an examination time. This paper studies a nonparametric neural-netw…
Multiple Domain Causal Networks
Tianhui Zhou, William E. Carson, Michael Hunter Klein +1
Observational studies are regarded as economic alternatives to randomized trials, often used in their stead to investigate and determine treatment efficacy. Due to lack of sample s…
Estimating Potential Outcome Distributions with Collaborating Causal Networks
Tianhui Zhou, William E Carson, David Carlson
Traditional causal inference approaches leverage observational study data to estimate the difference in observed and unobserved outcomes for a potential treatment, known as the Con…
PSweight: An R Package for Propensity Score Weighting Analysis
Tianhui Zhou, Guangyu Tong, Fan Li +1
Propensity score weighting is an important tool for comparative effectiveness research.Besides the inverse probability of treatment weights (IPW), recent development has introduced…
Estimating Uncertainty Intervals from Collaborating Networks
Tianhui Zhou, Yitong Li, Yuan Wu +1
Effective decision making requires understanding the uncertainty inherent in a prediction. In regression, this uncertainty can be estimated by a variety of methods; however, many o…