| Day | Date | Lecture Topics | Reading | Assignments | Handouts |
|---|---|---|---|---|---|
| Tues. | Jan. 18 | Review of Regression | Regression review | ||
| Thur. | Jan. 20 | Introduction to Design and Analysis of Experiments | Sections 1.1 and 1.2 in Dean and Voss | ||
| Thur. | Jan. 25 | Introduction to Design and Analysis of Experiments | |||
| Thur. | Jan. 27 | 1-Way Analysis of Variance | Section 3.1 - 3.5, & 3.7-3.8 in D&V | 1-Way ANOVA | |
| Tues. | Feb. 1 | Contrasts and Multiple comparisons | Sections 4.1-4.3 in D&V |
Assignment 1 Trout data | |
| Thur. | Feb. 3 | Multiple comparisons | Section 4.4 & Chapter 5 in D&V | 1) Multiple Comparisons 2) Hayter paper 3) Carmer & Swanson paper 4) Tukey Q distribution and orthogonal polynomial coefficients | |
| Tues. | Feb. 8 | Class & office hours canceled | Assignment 1 due. See homework rules | ||
| Thur. | Feb. 10 | Tests of equal variance, CI's for group means and MSE, Multi-way ANOVA | Section 3.4, 3.7 in D&V |
Levene reference (not the paper) Brown & Forsythe paper | |
| Tues. | Feb. 15 | Multi-way ANOVA, Blocking | Sections 61.-6.4 & 7.1-7.4 in D&V |
Assignment 2 (data sets on home page) | Two and Three way ANOVA (factorial) designs. Ignore random effects model for now |
| Thur. | Feb. 17 | Effect contrasts and ANOVA designs and coefficients | Sections 10.1-10.7 in D&V (blocking) |
(1) two by two ANOVA with 1 observation and various
contrasts (2) two by two ANOVA in R (3) one way ANOVA with blocking | |
| Day | Date | Lecture Topics | Reading | Assignments | Handouts |
| Tues. | Feb. 22 |
(1) Random effects 1-way ANOVA (2) More on effect contrasts and design matrices in R |
Sections 17.1-17.3, 17.5 in D&V |
ANOVA design matrices in R One way random effects model | |
| Thur. | Feb. 24 | Sub-sampling (Nested random effects) | [correction] Section 18.4.1 (Stop at Soil experiment example) in D&V |
Assignment 3 |
Handout on sub-sampling |
| Friday. | Feb. 25 | Assignment 2 due at noon. | |||
| Tues. | March 1 |
Review of progress so far, Future topics & Split plot experiments | Chapter 19 in D&V | ||
| Thur. | March 3 | examples of analysis of sub-sampling experiment in R and SAS. | Assignment 3 due. |
(1) Handout on using SAS for designs with sub-sampling (2) Handout on using R for designs with sub-sampling | |
| Tues. | March 8 | Review for exam | Design contrasts and meaning of corresponding coefficients | ||
| Thur. | March 10 |
Midterm #1 Solutions for Midterm 1 | List of topics for midterm | ||
| Tues. | March 15 | Split plot designs | Chapter 19 in D&V | ||
| Thur. | March 17 | Mixed model, Unbalanced data | |||
| Tues. | March 22 | Spring Break! | |||
| Thur. | March 24 | Spring Break! | |||
| Day | Date | Lecture Topics | Reading | Assignments | Handouts |
| Tues. | March 29 |
DF for unbalanced designs, Regression mixed models likelihood | Section 2.1 in Pinheiro & Bates |
Assignment 4 | |
| Thur. | March 31 | ANOVA mixed model likelihood | Section 1.1 & 2.1 in Pinheiro & Bates | ||
| Tues. | April 5 |
Split plot models using lme, BLUP estimation of random effects | Section 1.6 in Pinheiro & Bates | Split plot analysis using lme. | |
| Thur. | April 7 |
Model for multiple levels of nesting, REML estimation, Hypothesis testing | Sections 1.5, 2.2.5, 2.4 in P&B | Assignment 4 due. | |
| Tues. | April 12 |
Subject Specific (conditional) Models: Two stage estimation Combined estimation Random Effects models |
Analysis of Functional Data Notes: Chapter 1 through Section 2.2 |
Analysis of Functional Data Notes Ramus height data | |
| Thur. | April 14 |
LME models:
Parameterizing the marginal Var/Cov matrix. Varying design matrices. |
AFD Notes: Section 2.2 (page 17 on) through Sec 2.5 |
Assignment 5 | |
| Tues. | April 19 |
LME models:
Standard errors and testing, Nested curves and simulating data |
AFD Notes: Section 2.7 - 2.9 | ||
| Thur. | April 21 |
Grouped data and LME software |
AFD Notes: Appendix C |
Assignment 5 due.
Assignment 6 chick.early data | |
| Tues. | April 26 |
Nonlinear least squares Nonlinear mixed effects models | AFD Notes: Chapter 3 | ||
| Thur. | April 28 | Self modeling for functional data | AFD Notes: Chapter 4 | Assignment 6 due. | |
| Tues. | May 3 |
In class midterm #2, Solutions for Midterm 2 Take home final soda data mouse data Grading criteria for final | |||
| Thur. | May 5 | No class | |||
| Thursday. | May 12 |
Take home final due at 12:00 noon in Jialiang Li's or Mary Lindstrom's Department of Statististics mailbox. |
|
|