7 citations · 24 across the 6 of their papers we have counts for
6 papers
The flexible Gumbel distribution: A new model for inference about the mode
Qingyang Liu, Xianzheng Huang, Haiming Zhou
A new unimodal distribution family indexed by the mode and three other parameters is derived from a mixture of a Gumbel distribution for the maximum and a Gumbel distribution for t…
Parametric Modal Regression with Error in Covariates
Qingyang Liu, Xianzheng Huang
An inference procedure is proposed to provide consistent estimators of parameters in a modal regression model with a covariate prone to measurement error. A score-based diagnostic…
Bayesian Modal Regression based on Mixture Distributions
Qingyang Liu, Xianzheng Huang, Rai Bai
Compared to mean regression and quantile regression, the literature on modal regression is very sparse. A unifying framework for Bayesian modal regression is proposed, based on a f…
Sample size re-estimation in Phase 2 Dose-Finding: Conditional power vs. Bayesian predictive power
Qingyang Liu, Guanyu Hu, Binqi Ye +2
Unblinded sample size re-estimation (SSR) is often planned in a clinical trial when there is large uncertainty about the true treatment effect. For Proof-of Concept (PoC) in a Phas…
Time Fused Coefficient SIR Model with Application to COVID-19 Epidemic in the United States
Hou-Cheng Yang, Yishu Xue, Yuqing Pan +2
In this paper, we propose a Susceptible-Infected-Removal (SIR) model with time fused coefficients. In particular, our proposed model discovers the underlying time homogeneity patte…
Bayesian Variable Selection for Cox Regression Model with Spatially Varying Coefficients with Applications to Louisiana Respiratory Cancer Data
Jinjian Mu, Qingyang Liu, Lynn Kuo +1
The Cox regression model is a commonly used model in survival analysis. In public health studies, clinical data are often collected from medical service providers of different loca…