activity
20152020
most citedModeling county level breast cancer survival data using a covariate-adjusted frailty proportional hazards model

20 citations · 26 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DL20204 cited

Early Indicators of Scientific Impact: Predicting Citations with Altmetrics

Akhil Pandey Akella, Hamed Alhoori, Pavan Ravikanth Kondamudi +2

Identifying important scholarly literature at an early stage is vital to the academic research community and other stakeholders such as technology companies and government bodies.…

stat.ME2020

Conditional density estimation with covariate measurement error

Xianzheng Huang, Haiming Zhou

We consider estimating the density of a response conditioning on an error-prone covariate. Motivated by two existing kernel density estimators in the absence of covariate measureme…

stat.ME2019

Parametric mode regression for bounded responses

Haiming Zhou, Xianzheng Huang

We propose new parametric frameworks of regression analysis with the conditional mode of a bounded response as the focal point of interest. Covariate effects estimation and predict…

stat.CO20172 cited

Bandwidth selection for nonparametric modal regression

Haiming Zhou, Xianzheng Huang

In the context of estimating local modes of a conditional density based on kernel density estimators, we show that existing bandwidth selection methods developed for kernel density…

stat.AP201520 cited

Modeling county level breast cancer survival data using a covariate-adjusted frailty proportional hazards model

Haiming Zhou, Timothy Hanson, Alejandro Jara +1

Understanding the factors that explain differences in survival times is an important issue for establishing policies to improve national health systems. Motivated by breast cancer…