Abstract
Measuring Time-to-Event: Introduction to Survival Analysis
Survival analysis is a branch of statistics used to analyze the timing of events, such as unemployment, drop-out or graduation from school, or the onset of youth substance use.
This presentation will provide an introduction to survival analysis and a demonstration of survival analysis using empirical data in the R statistical software program.
Details
Date, Time, & Location
Friday, September 11, 2020
12:00-1 PM
Zoom videoconference
Presentation: Measuring Time-to-Event: Introduction to Survival Analysis
Zoom videoconference
Presentation: Measuring Time-to-Event: Introduction to Survival Analysis
This virtual presentation is free and open to the public.
Join the Zoom videoconference.
Kejin Lee
Research Assistant Professor, Nebraska Academy of Methodology, Analytics and Psychometrics
Kejin Lee is a research assistant professor at the Nebraska Academy of Methodology, Analytics and Psychometrics at the University of Nebraska–Lincoln. Her research interests include meta-analysis, structural equation modeling, longitudinal data analysis, meta-analytic structural equation modeling and multivariate multilevel meta-analysis.
Full Biography