This module provides basic skills in computational data analysis. Students will learn how to import ... This unit describes how multiple research methods can address current debates in Psychological ...

Complete case analysis is unbiased only if missingness is ... Key points The missing-indicator method is a popular and simple method to handle missing data in clinical research but has been criticized ...

Understanding the electrical activity of neurons is key to unlocking insights into neurological diseases. Yale researchers ...

The team collects text, audiovisual and behavioral datasets; uses innovative computational techniques and empirical strategies for analysis; and generates original research. Data Labs also explores ...

This webpage provides information about the research project “Methods for the Analysis of Longitudinal Dyadic Data, with Applications to Intergenerational Exchanges of Family Support”. The three-year ...

By providing a method to measure and analyze data, it aids policymakers ... quantitative analysis is employed for clinical trials, genetic research, and epidemiological studies to name a few ...

Our goal is to bridge the gap between biomedical research and practical application in medicine." Theis further explains that the development team is focusing on exploratory data analysis methods ...