STAT 700 Calendar

Monday

Wednesday

Additional Information

Aug. 28
Introduction and Review of Linear Models

Aug. 30
Review of Linear Models (cont.)

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Sep. 3
Labor Day
No Class, yipee!

Sep. 5
Linear Models (cont.)
Lab: Linear Models and ANOVA in R
Lab1
HW#1

Here are some Introductory Lessons in R
Here are some R tutorials (Check out Simple Linear Regression
and Multiple Linear Regression)
Here are some great R notes from the Faraway Book: Faraway

Sep. 10
Linear Models, Quadratic Forms and ANOVA

Sep. 12
Linear Models, Quadratic Forms and ANOVA (cont.)
Lab: Linear Models and ANOVA in R (cont.)
Lab1
HW#2

.

Sep. 17
Linear Models and ANOVA
General Linear Hypothesis

Sep. 19
ANOVA (one-way)
Lab: ANOVA in R
Lab2
HW#3

Rsquared and Adjusted Rsquared: Formula

Sep. 24
ANOVA (one-way) (cont.)
Lab: ANOVA in R
Lab2

Sep. 26
ANOVA (two-way)
Lab: ANOVA in R
Lab2
HW#4

Here is a link to the degrees of freedom for one-way ANOVA Tutorial
Here is nice discussion on: Contrasts in R
Here is a nice lecture on Coding Schemes and Contrasts
ANOVA with Interactions Tutorial (See RHS for list)
Here are some Interaction Plots

Oct. 1
Nonlinear Models
Lab: Nonlinear Models
Lab3

Oct. 3
Nonlinear Models
Lab: Nonlinear Models
Lab3
Extra Practice Problem

Nonlinear Regression CIs

Midterm Exam, Mon. Oct. 8
Part I: in-class, Part II: take-home
Midterm Exam Information

Oct. 8
Midterm Exam, In-class
Midterm Exam Information

Oct. 10
The Nonparametric Bootstrap
Introductory Lecture on Blackboard
Lab (Part I)

.

Oct. 15
The Nonparametric Bootstrap (cont.)
Lab (Part I)

Oct. 17
Random Effects Models (Introduction)
Chapter 1, (2.1)
HW#5

.

Oct. 22
Linear Mixed Models
Chapter 2 Matrix Notation
Chapter 3 Rat Pup Data and code in (3.4.3 R)
Lab5

Oct. 24
Linear Mixed Models
Chapter 3 Rat Pup Data and code in (3.4.3 R)
Lab5
HW#6

Reference: Laird and Ware, (1982)

Oct. 29
Mixed Models - Rat Pup Example (cont.)
Predictions (BLUPs) of Random Effects
Predictions (BLUPs) of Random Effects REML

Oct. 31
Longitudinal Data and Mixed Models
REML Chapter 2
HW#7

Ratpup Residual Plots R code: resid_plots.r

Class Example: Orthodont dataset and longitudinal model: orthof.pdf
R Function: augPred, update, plot.lme
R code: class_ex_ortho.r

Nov. 5
LME Model and within Subject Correlation Models.

Nov. 7
GLS and WLS
HW#9

Here is a nice description of Generalized Least Squares
(From Dr. Ruczinski)
Class Example: GLS R code: class_ex_gls.r

Nov. 12
Veterans Day
Campus Closed - no class

Nov. 14
Repeated Measurment ANOVA: Ergometrics Stool Example
LMM and NonlinearMM
Soybean Data Example
Chapter 4 (Case Study Math Gain)
HW#9

Class Example Return to Orthodont orthoMF.r

Class Example: ergoStool and plots

Class example: NLME Model , Soybean (R code) and plots

Nov. 19
Chapter 4
(Case Study Math Gain)
Three-level model
Lab6

Nov. 21
No Class - Happy Thanksgiving Break!

.

Nov. 26
Chapter 4
(Case Study Math Gain)
Three-level model
Lab6

Nov. 28
Logistic Regresssion and GLMs

 Class Example Logistic Regression: challenger.r
See Blackboard Course Documents Lectures
for a nice interpretation of results from above output.

Goodness of Fit for Logistic Regression see: Lesson 6.2.3
For a nice description of interpreting coefficients in logistic regression see
p. 8 of Lecture 10

Dec. 3
GLMs and GLMMs

Dec. 5
GLMs and GLMMs
Lab ggplot (see Blackboard for link)

Let's try out the Vignette: GLMM package!

Class Example purchase.r AND elephants.r

GLMM in Matrix Notation: LME Example and GLMM Example

Here is GLMM Example for logistics regression

GLMM Worked Examples Culcita
(Data is available off the course webpage
and paper available in Course Documents Folder on BB)

Dec. 10
Review and
Data Project Presentations
see Data Analysis Project web page for info.

Dec. 12
Data Project Presentations
see Data Analysis Project web page for info.
Project due!

Final Exam, Mon. Dec. 17, 3:30-5:30PM, In-class GMCS-422
Final Exam Information

Here is my LME paper