7 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…
Zero & -inflated overdispersed binomial models for sum-constrained Poisson count processes
James Sweeney, John Haslett, Dipankar Bandyopadhyay +2
A frequent challenge encountered with compositional ecological data is how to interpret and model data with a high proportion of zeros and 's. Such data frequently occur in ecol…
A Robust Monotonic Single-Index Model for Skewed and Heavy-Tailed Data: A Deep Neural Network Approach Applied to Periodontal Studies
Qingyang Liu, Shijie Wang, Ray Bai +1
Periodontal pocket depth is a widely used biomarker for diagnosing risk of periodontal disease. However, pocket depth typically exhibits skewness and heavy-tailedness, and its rela…