Bio Z620 - Biostatistics

Section: 18199
Class Day and Times: MWF 10:10-11:00
Class Location: SW 221
Text: Lecture Notes accessible from this WEB page
WEB Page:
Instructor: Elizabeth Housworth
Office and Office Hours: 371 Rawles Hall, 11:10-11:45 MWF, 2-2:45 TuTh, and by appointment
Important dates: Last day for automatic withdrawals is Wednesday, October 27. Our Final Exam period is 10:15am-12:15pm on Friday, December 17.

Grading Procedure and class policies: Homework assignments involve mini-projects where you completely analyze a data set and turn in a written report about your results. The assignments can be found through their links which are located on their due dates on the syllabus given below. In addition, you have one individual data analysis project of a data set of your choosing. Your data and research proposal are due on November 3, a progress report is due December 1, and your final report due by Friday, December 17 at 12:15pm. The mini-project grading rubric can be found through the following link: Grading Rubric for Mini-Projects

The final project grading rubric is more loosely defined and can be found at: Grading Rubric for the Final Project

A sample write-up can be found at: Sample Mini-Project Write Up

Minitab can be purchased or rented through

Homeworks  200
Attendance and Participation  100
Individual Project  200
Total  500

Cheating Policy: You can work together on the homeworks. Individual projects should be your individual work only and, if I have determined that you have cheated, I will give you an F in the course.

Religious Holiday Policy: If you will miss class, especially a class during which there will be an exam or other required work, for a religious holiday, you must inform me during the first two weeks of the semester.  

Tentative Syllabus
Date Topics Supplementary Material and Work Due
Monday, August 30 Developing your common sense John McDonald's Free Online Text: Handbook of Biological Statistics
Wednesday, September 1 Intuitive p-values Data and Code for Lecture 2
Friday, September 3 Various versions of the t-test. --
Monday, September 6 Assumptions --
Wednesday, September 8 Log Transformations Data for Lecture 5
Friday, September 10 Nonparametric procedures for comparing two distributions Data and Code for Lecture 6
Monday, September 13 Bootstrapping and Permutation tests Mini-project 1
Data and Code for Lecture 7
Wednesday, September 15 Paired Samples Data for Lecture 8
Friday, September 17 Guide to comparing two samples --
Monday, September 20 One-way ANOVA theory --
Wednesday, September 22 One-way ANOVA examples Data for Lecture 11
Friday, September 24 ANOVA alternatives Welch's ANOVA Macro
Monday, September 27 Making Comparisons after ANOVA Mini-project 2
Wednesday, September 29 Multiple comparisons Data for Lecture 14
Friday, October 1 Simple linear regression I Data for Lecture 15
Monday, October 4 Simple linear regression II Pearson's Data on Father and Son heights
Wednesday, October 6 Outliers and leverage points --
Friday, October 8 Regression diagnostics --
Monday, October 11 Transformations and regression
A cautionary note on the statistical analysis of allometric relationships.
Bird heart rate and egg mass data from Tazawa et al. 2001
Wednesday, October 13 Serial correlation To compute the significance of the serial correlation you need the table in Durbin's and Watson's paper: Tables for assessing the significance of the Durbin and Watson Statistic Consumption of Spirits in the United Kingdom
Friday, October 15 Weighted regression Data for Lecture 21
Monday, October 18 Multiple linear regression I - Theory Mini-project 3
Wednesday, October 20 Multiple linear regression II - Beginning Diagnostics Data for Lecture 23
Friday, October 22 Multiple linear regression III - More Diagnostic Tools --
Monday, October 25 Regression and ANOVA --
Wednesday, October 27 Interactions in Regression Data for Lecture 26
Friday, October 29 General Linear Models --
Monday, November 1 Class canceled - to be made up later in the term. --
Wednesday, November 3 Model selection I Research proposal and data due
Friday, November 5 Model Selection II Data for Lecture 29
Monday, November 8 2(+)-way ANOVA Mini-project 4
Data for Lecture 30
Wednesday, November 10 2(+)-way ANOVA without replication Data for Lecture 31
Friday, November 12 Random effects and experimental design --
Monday, November 15 Categorical responses: test for equal proportions and odds ratios --
Wednesday, November 17 Categorical responses: Chi-square tests and Fisher's exact test --
Friday, November 19 Mantel-Haenszel test --
Monday, November 22 Help with Projects Day Mini-project 5 (Due by 11:59 pm Tuesday, November 23rd by e-mail.)

Mini-project 5 with a reduced data set

Wednesday, November 24 Thanksgiving Break --
Friday, November 26 Thanksgiving Break --
Monday, November 29 Logistic regression - theory --
Wednesday, December 1 Logistic regression - examples Progress report due
Data for Lecture 38
Friday, December 3 Logistic regression - diagnostics --
Monday, December 6 Logistic regression with binomial counts
Notes Not Available
Data for Lecture 40
Wednesday, December 8 Extra-binomial variation
Notes Not Available
Mini-project 6 (due Monday of Finals week)
Friday, December 10 Ratios:
Notes Not Available
Written Project due Friday, December 17 by 12:15 pm