This course is intended for students in the
Biomedical Research Ph.D. program.
Students in this course will learn the basics of data exploration, presentation, and analysis suitable for biomedical researchers. We will focus on
interpretation of data, and on presenting results in a form suitable for publication in peer-reviewed manuscripts.
Class time:
Tuesday and Thursday, 10-11:20 am
Class meeting room:
By videoconference due to the COVID-19 pandemic
Course director and instructor: James Denvir, Ph.D.
Email:
Office:
BBSC 336R
Phone:
304-696-7327
Course instructor: Andrew Nato, Ph.D.
Email:
Office:
BBSC 336M
Phone:
304-696-
This course will use online materials; there is no text book. Class time will typically involve students sharing
material they about which they were confused or had questions, with discussion, and a preview by the instructor(s)
of the material to be covered before the next class.
Students will use the R statistical computing environment
for data analysis and visualization. For help with R and RStudio, use the
R Resources button on the navigation bar, in addition to material provided in class.
| Date | Lecture |
|---|---|
| Tuesday January 26th | Installing R |
| Thursday January 28th | Types of variable: [Powerpoint] - [PDF] |
| Tuesday February 2nd | Average and Spread: [Powerpoint] - [PDF] |
| Thursday February 4th | Graphing Quantitative Variables: [Powerpoint] - [PDF] |
| Tuesday February 9th | Roles of Variables: [Powerpoint] - [PDF] |
| Tuesday February 23rd | Confidence Intervals of Proportions: [Powerpoint] - [PDF] |
| Tuesday March 2nd | Central Limit Theorem: [Powerpoint] - [PDF] - [R code] |
| Thursday March 4th | Confidence interval of the mean: [Powerpoint] - [PDF] - [R code] |
| Tuesday March 9th | Correlation: [Powerpoint] - [PDF] - [R code] |
| Thursday March 11th | Part 1 Review: [Powerpoint] - [PDF] |
| Tuesday March 16th | Hypothesis Testing: [Powerpoint] - [PDF] - [R code] |
| Thursday March 18th | Hypothesis Tests for Proportions: [Powerpoint] - [PDF] - [R code] |
| Tuesday March 30th | One-way ANOVA |
| Thursday April 1st | Two-way ANOVA |
| Tuesday April 6th | Linear Regression |
| Tuesday April 13th | Multiple Hypothesis Testing |
| Thursday April 15 th | Sample Size and Power |
| Tueday April 19th | Summary [Powerpoint] [PDF] |
| Workshop | Model solution | R code |
|---|
Installing R and R studio:
These are some (of very many) free online
tutorials available which make good background reading:
- Tutorials from the University of Edinburgh coding club (start with the two introductory R tutorials)
- Quick-R tutorial
- Introductory R tutorial from Kelly Black at UGA
- Data Carpentry tutorials: for Genomics, or for ecology (the contents are pretty similar for both)