Healmatcher is a Python package leveraging probablistic matching models to efficiently link large scale Eletronic Health Record (EHR) easily

Supervised and unsupervised machine learning are important statistical techniques commonly applied in many social and behavioral science research problems.

This is a course on models for multilevel nested data. These data arise in nested designs, which are quite common to education and applied social, behavioral and policy science.

This is a course in advanced statistical techniques that covers generalized linear models and extensions that are commonly used in health and policy research.

The goal of the project is to understand the relation between the gastrointestinal symptom and the brain substrate activity from UK Biobank data

By quantifying underlying differences on COVID-19 reporting and examining the predictive power of these patterns to identify the news source, this study can be useful for a number of cases.

World Temperature is Increasing which intends to emphasize the global warming effect by demonstrating an increasing trend of the global temperature anomaly as well as a constant accumulation of carbon …