ABOUT THIS EPISODE
"Analyzing Real Data" by Dr. Eric Vance, the director of LISA, focused on analyzing real datasets submitted by the short course attendees. While working through specific examples, general themes and techniques of statistical analysis were highlighted and discussed. Two datasets were analyzed using statistical tools highlighted in the previous LISA Short Courses, though attending prior short courses was not required.
If you think your data might be interesting for a future LISA Short Course, please email Dr. Vance at ervance@vt.edu.
Course files available here: www.lisa.stat.vt.edu/?q=node/514.
If you think your data might be interesting for a future LISA Short Course, please email Dr. Vance at ervance@vt.edu.
Course files available here: www.lisa.stat.vt.edu/?q=node/514.
English
United States
TRANSCRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
SEARCH PAST EPISODES
Search past episodes of LISA: Laboratory for Interdisciplinary Statistical Analysis - Short Courses.
OTHER EPISODES IN THIS PODCAST
Visualizing your data is an essential first step for any statistical analysis and often times the graph itself provides the best statistical interpretation of the data. This course will present principles of good graphics and provide examples to help you answer your research question graphically u…
Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance and multiple linear regression models. This short course features an introduction to the logic of S…
R is a free computing and graphical software/environment for statistical analysis. Part III of this short course consists of 3 sections:
Section 5 introduces the concept of generalized linear models. R will be used for performing logistic regression and Poisson regression.
Section 6 intro…
R is a free computing and graphical software/environment for statistical analysis. Part III of this short course consists of 3 sections:
Section 5 introduces the concept of generalized linear models. R will be used for performing logistic regression and Poisson regression.
Section 6 intro…
R is a free computing and graphical software/environment for statistical analysis. Part II of this short course consists of 2 sections:
Section 3 introduces statistical analysis in R, including t-tests, ANOVA, linear regression, nonparametric tests, and logistic regression.
Section 4 conta…
Disclaimer: The podcast and artwork embedded on this page are from LISA, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
EDIT
Thank you for helping to keep the podcast database up to date.