1 citations · 2 across the 9 of their papers we have counts for
9 papers
Asynchronous Distributed ECME Algorithm for Matrix Variate Non-Gaussian Responses
Qingyang Liu, Sanvesh Srivastava, Dipankar Bandyopadhyay
We propose a regression model with matrix-variate skew-t response (REGMVST) for analyzing irregular longitudinal data with skewness, symmetry, or heavy tails. REGMVST models matrix…
Individualized treatment regimens under correlated data with multiple outcomes
Misha Dolmatov, Erica E. M. Moodie, David A. Stephens +1
Precision medicine involves developing individualized treatment regimes (ITRs) which allow for treatment decisions to be tailored to patient characteristics. Naturally, the identif…
An Interpretable Single-Index Mixed-Effects Model for Non-Gaussian National Survey Data
Qingyang Liu, Debdeep Pati, Dipankar Bandyopadhyay
This manuscript presents an innovative statistical model to quantify periodontal disease in the context of complex medical data. A mixed-effects model incorporating skewed random e…
A monotone single index model for spatially referenced multistate current status data
Snigdha Das, Minwoo Chae, Debdeep Pati +1
Assessment of multistate disease progression is commonplace in biomedical research, such as, in periodontal disease (PD). However, the presence of multistate current status endpoin…
A Monotone Single-Index Modal Regression Powered by Deep Neural Networks for Non-Gaussian Periodontal Data
Qingyang Liu, Shijie Wang, Ray Bai +1
Pocket depth (PD) is a widely used biomarker for diagnosing risk of periodontal disease (PrD). However, PD typically exhibits skewness and heavy-tailedness, and its relationship wi…
Scalable Efficient Inference in Complex Surveys through Targeted Resampling of Weights
Snigdha Das, Dipankar Bandyopadhyay, Debdeep Pati
Survey data often arises from complex sampling designs, such as stratified or multistage sampling, with unequal inclusion probabilities. When sampling is informative, traditional i…