Experimental Design
Bio683
Learning Objective
This course is intended to provide a foundation in the proper design of scientific research projects in the field of biology. A wide range of biological experiments will be covered, and each type of experiment will be explored with an eye toward choosing the appropriate statistical technique for analysis. By the end of the course, successful students will be able to design biological studies that are statistically tractable and perform basic statistical analyses using the programming language R.
Class meets in BSBW room B25 TR 2:20-3:35.
For more information email Dr. Blackmon.
Syllabus
Lecture Topics
| Week | Topic | Reading |
|---|---|---|
| 1 | Introduction to R and statistics HW1 |
WS CH. 1-2 |
| beyond the bar | ||
| p-value crisis | ||
| 2 | Using R examples Monte Carlo Script Summaries and estimates |
horned-beetle-data |
| 3 | Probability and Bayes' theorem Lab1-(HW2) Lab1-(HW2)-solved |
WS CH. 3-4 female.data male.data |
| 4 | Proportions and categories HW3 HW3-solved |
WS CH. 6-9 |
| 5 |
Continuous Variables lab |
WS CH. 10-13 finch data example permuatations |
| 6 | ANOVA | WS CH. 14-16 |
| crickets retrogenes |
||
| 7 | Practice Exam Midterm Exam |
retrogenes.csv fish.csv fins.csv |
| 8 | Student Research Week and Midterm Review |
p-value paper (emailed) |
| 9 | Linear models |
oaks.csv betta_splendens.csv WS CH. 17-18 |
| 10 | Random Effects Models | Newts |
| 11 |
Data Visualization Dimensional reduction | |
| 12 |
Species as data points Phylomethods worksheet | |
| 13 | final exam emailed |
data file 1 data file 2 |