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Experimental Design

Bio683

data

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

Extra Resources

Google R style guide
R cheat sheet

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
data file 1