In applications where the study data are collected within cluster units
...
Polygenic hazard score (PHS) models designed for European ancestry (EUR)...
Polygenic risk scores (PRS) have recently received much attention for
ge...
The coronavirus disease 2019 (COVID-19) pandemic has exerted a profound
...
Neural Network (Deep Learning) is a modern model in Artificial Intellige...
Risk-adjusted quality measures are used to evaluate healthcare providers...
In a private private information structure, agents' signals contain no
i...
Existing literature for prediction of time-to-event data has primarily
f...
This paper introduces a general framework for survival analysis based on...
In observational studies of survival time featuring a binary time-depend...
The time-varying effects model is a flexible and powerful tool for model...
Monitoring outcomes of health care providers, such as patient deaths,
ho...
Modern bio-technologies have produced a vast amount of high-throughput d...
In the context of a sequential search problem, I explore large-generatio...
High-dimensional variable selection in the proportional hazards (PH) mod...
Although much progress has been made in classification with high-dimensi...