1 citations · 3 across the 5 of their papers we have counts for
5 papers
Bayesian Mendelian randomization testing of interval causal null hypotheses: ternary decision rules and loss function calibration
Linyi Zou, Teresa Fazia, Hui Guo +1
Our approach to Mendelian Randomization (MR) analysis is designed to increase reproducibility of causal effect "discoveries" by: (i) using a Bayesian approach to inference; (ii) re…
Bayesian Mendelian randomization with study heterogeneity and data partitioning for large studies
Linyi Zou, Hui Guo, Carlo Berzuini
Background: Mendelian randomization (MR) is a useful approach to causal inference from observational studies when randomised controlled trials are not feasible. However, study hete…
Exact Multivariate Two-Sample Density-Based Empirical Likelihood Ratio Tests Applicable to Retrospective and Group Sequential Studies
Ablert Vexler, Gregory Gurevich, Li Zou
Nonparametric tests for equality of multivariate distributions are frequently desired in research. It is commonly required that test-procedures based on relatively small samples of…
A Sequential Density-Based Empirical Likelihood Ratio Test for Treatment Effects
Li Zou, Albert Vexler, Jihnhee Yu +1
In health-related experiments, treatment effects can be identified using paired data that consist of pre- and post-treatment measurements. In this framework, sequential testing str…
The empirical likelihood prior applied to bias reduction of general estimating equations
Albert Vexler, Li Zou, Alan D. Hutson
The practice of employing empirical likelihood (EL) components in place of parametric likelihood functions in the construction of Bayesian-type procedures has been well-addressed i…