University of Minnesota

School of Public Health

Division of Biostatistics

PubH 8401/STAT 8311 Linear Models Fall 2022

 

 

Syllabus and Course Information

 

 

Click on address to send email

Instructors:

Dr. Xiaoou Li

lixx1766@umn.edu

Dr. Cavan Reilly

cavanr@biostat.umn.edu

Teaching Assistant:

Michael Anderson

and02709@umn.edu

Office hours for Cavan: Monday 4-5 Room 359 2221 Univeristy Ave SE (University Office Plaza)

Office hours for the Michael: Tuesday 2:30-4:30 Mayo A554

Final exam: Monday Dec. 19 10:30-12:30. Students can bring 2 sheets of paper (front and back) with notes, otherwise, this is a closed book exam.


Week

Topics

R Code

Homework

Reading

9

Inference for Linear Models: optimality of OLS and F-tests

Stat 8311 Notes Sections 6.1-6.3

10

Inference for Linear Models: coordinate free hypotheses and parametric hypotheses

Homework 8

Stat 8311 Notes Sections 6.4-6.8

Ansley CF, "Quick proofs of some regression theorems via the QR algorithm", The American Statistician, 1985, 39, 1.

11

Inference for Linear Models: coordinate free hypotheses and parametric hypotheses

Homework 9

Stat 8311 Notes Sections 6.4-6.8

12

Inference for Linear Models: contrasts, power, confidence regions, and multiple hypothesis testing

Homework 10

Stat 8311 Notes Sections 6.9-6.13, 8.1

13

Inference for Linear Models: simultaneous confidence intervals, 2-way ANOVA

Homework 11

Stat 8311 Notes Sections 8.1-8.2, 7.1-7.6

14

2-way ANOVA, GLMs

Homework 12

McCullagh, P and Nelder, JA "Generalized Linear Models" Chapter 2

McCulloch, CE, Searle SR, and Neuhaus, JM "Generalized, Linear, and Mixed Models" Chapter 5 sections 5.1- 5.4

15

More on GLMs

McCullagh, P and Nelder, JA "Generalized Linear Models" Chapter 3, 4, and 6

McCulloch, CE, Searle SR, and Neuhaus, JM "Generalized, Linear, and Mixed Models" Chapter 5 sections 5.5-5.6