STAT 700 Calendar

STAT 700 Calendar

Monday

Wednesday

Additional Information

Aug. 29
Introduction and Review of Linear Models

Aug. 31
Review of Linear Models (cont.)
HW#1
.

Sep. 5
Labor Day
No Class, yipee!

Sep. 7
Linear Models (cont.)
Lab: Linear Models and ANOVA in R
Lab1
HW#2
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. 12
Linear Models, Quadratic Forms and ANOVA

Sep. 14
Linear Models, Quadratic Forms and ANOVA (cont.)
Lab: Linear Models and ANOVA in R (cont.)
Lab1
HW#3
.

Sep. 19
Linear Models and ANOVA
General Linear Hypothesis

Sep. 21
ANOVA (one-way)
Lab: ANOVA in R
Lab2
HW#4
Rsquared and Adjusted Rsquared: Formula

Sep. 26
ANOVA (one-way) (cont.)
Lab: ANOVA in R
Lab2

Sep. 28
ANOVA (two-way)
Lab: ANOVA in R
Lab2
HW#5
Here is nice discussion on: Contrasts in R
ANOVA with Interactions Tutorial (See RHS for list)
Here are some Interaction Plots

Oct. 3
The Nonparametric Bootstrap
Lab (Part I)

Oct. 5
Nonlinear Models
Lab: Nonlinear Models
Lab3
Bootstrap Example boot_ex.r
Midterm Exam, Mon. Oct. 10
Part I: in-class (GMCS-313), Part II: take-home
Midterm Exam Information

Oct. 10
Midterm Exam, In-Classroom (GMCS-313)
Midterm Exam Information
Midterm Exam take-home Part II

Oct. 12
Nonlinear Models
Lab: Nonlinear Models
Lab3
Nonlinear Regression CIs .

Oct. 17
Random Effects Models (Introduction)
Chapter 1, (2.1) Linear Mixed Models
Chapter 2 Matrix Notation

Oct. 19
Linear Mixed Models
Chapter 2 Matrix Notation
Chapter 3 Rat Pup Data
HW#6
Reference: Laird and Ware, (1982)

Oct. 24
Linear Mixed Models
Chapter 2 Matrix Notation
Chapter 3 Rat Pup Data and code in (3.4.3 R)
Lab5

Oct. 26
Linear Mixed Models
Chapter 2 REML and GLS
Chapter 3 Rat Pup Data and code in (3.4.3 R)
Lab5
HW#7
Here is a nice description of Generalized Least Squares
(From Dr. Ruczinski)
Class Example: GLS R code: class_ex_gls.r

Oct. 31
Mixed Models - Rat Pup Example (cont.)
REML, GLS and WLS
Predictions (BLUPs) of Random Effects

Nov. 2
Longitudinal Data and Mixed Models
Chapter 2
HW#8
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. 8
Repeated Measurment ANOVA
Ergometrics Stool Example
Chapter 5 (Read case study)

Nov. 10
Repeated Measurment ANOVA
Ergometrics Stool Example
LMM and NonlinearMM
Soybean Data Example
HW#9
Class Example: ergoStool and plots
Class example: NLME Model , Soybean (R code) and plots

Nov. 14
Chapter 4
(Case Study Math Gain)
Three-level model
Lab6

Nov. 16
Chapter 4
(Case Study Math Gain)
Three-level model
Lab6

Class Example: Pigs R plot and output
pigs.pdf and pigs.out

Nov. 21
R demonstration of knitr
Thanks Nick! (see his template on Blackboard)

Nov. 23
No Class - Happy Thanksgiving Break!
Class Example Return to Orthodont orthoMF.r

Nov. 28
Logistic Regression

Nov. 30
Logistic Regresssion and GLMs

Class Example Logistic Regression: challenger.r
Mixed Effects Logistic Regression: IDR Example

Dec. 5
GLMs and GLMMs

Dec. 7
GLMs and GLMMs

Class Example purchase.r
Goodness of Fit for Logistic Regression see: Lesson 6.2.3
GLMM in Matrix Notation: LME Example and GLMM Example
GLMM Worked Examples Culcita (Data is available off the course weppage and paper available in Course Documents Folder on BB)
For a nice description of interpreting coefficients in logistic regression see p. 8 of Lecture 10

Dec. 12
Review and
Data Project Presentations
see Data Analysis Project web page for info.

Dec. 14
Data Project Presentations
see Data Analysis Project web page for info.
Project due!
CLASS MEETS in EBA-249!
Final Exam, Mon. Dec. 19, 3:30-5:30PM, in GMCS-313
Final Exam Information

Review: The tobbaco experiment is available at: tobbaco.r

Monday	Wednesday	Additional Information
Aug. 29 Introduction and Review of Linear Models	Aug. 31 Review of Linear Models (cont.) HW#1	.
Sep. 5 Labor Day No Class, yipee!	Sep. 7 Linear Models (cont.) Lab: Linear Models and ANOVA in R Lab1 HW#2	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. 12 Linear Models, Quadratic Forms and ANOVA	Sep. 14 Linear Models, Quadratic Forms and ANOVA (cont.) Lab: Linear Models and ANOVA in R (cont.) Lab1 HW#3	.
Sep. 19 Linear Models and ANOVA General Linear Hypothesis	Sep. 21 ANOVA (one-way) Lab: ANOVA in R Lab2 HW#4	Rsquared and Adjusted Rsquared: Formula
Sep. 26 ANOVA (one-way) (cont.) Lab: ANOVA in R Lab2	Sep. 28 ANOVA (two-way) Lab: ANOVA in R Lab2 HW#5	Here is nice discussion on: Contrasts in R ANOVA with Interactions Tutorial (See RHS for list) Here are some Interaction Plots
Oct. 3 The Nonparametric Bootstrap Lab (Part I)	Oct. 5 Nonlinear Models Lab: Nonlinear Models Lab3	Bootstrap Example boot_ex.r Midterm Exam, Mon. Oct. 10 Part I: in-class (GMCS-313), Part II: take-home Midterm Exam Information
Oct. 10 Midterm Exam, In-Classroom (GMCS-313) Midterm Exam Information Midterm Exam take-home Part II	Oct. 12 Nonlinear Models Lab: Nonlinear Models Lab3	Nonlinear Regression CIs	.
Oct. 17 Random Effects Models (Introduction) Chapter 1, (2.1) Linear Mixed Models Chapter 2 Matrix Notation	Oct. 19 Linear Mixed Models Chapter 2 Matrix Notation Chapter 3 Rat Pup Data HW#6	Reference: Laird and Ware, (1982)
Oct. 24 Linear Mixed Models Chapter 2 Matrix Notation Chapter 3 Rat Pup Data and code in (3.4.3 R) Lab5	Oct. 26 Linear Mixed Models Chapter 2 REML and GLS Chapter 3 Rat Pup Data and code in (3.4.3 R) Lab5 HW#7	Here is a nice description of Generalized Least Squares (From Dr. Ruczinski) Class Example: GLS R code: class_ex_gls.r
Oct. 31 Mixed Models - Rat Pup Example (cont.) REML, GLS and WLS Predictions (BLUPs) of Random Effects	Nov. 2 Longitudinal Data and Mixed Models Chapter 2 HW#8	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. 8 Repeated Measurment ANOVA Ergometrics Stool Example Chapter 5 (Read case study)	Nov. 10 Repeated Measurment ANOVA Ergometrics Stool Example LMM and NonlinearMM Soybean Data Example HW#9	Class Example: ergoStool and plots Class example: NLME Model , Soybean (R code) and plots
Nov. 14 Chapter 4 (Case Study Math Gain) Three-level model Lab6	Nov. 16 Chapter 4 (Case Study Math Gain) Three-level model Lab6	Class Example: Pigs R plot and output pigs.pdf and pigs.out
Nov. 21 R demonstration of knitr Thanks Nick! (see his template on Blackboard)	Nov. 23 No Class - Happy Thanksgiving Break!	Class Example Return to Orthodont orthoMF.r
Nov. 28 Logistic Regression	Nov. 30 Logistic Regresssion and GLMs	Class Example Logistic Regression: challenger.r Mixed Effects Logistic Regression: IDR Example
Dec. 5 GLMs and GLMMs	Dec. 7 GLMs and GLMMs	Class Example purchase.r Goodness of Fit for Logistic Regression see: Lesson 6.2.3 GLMM in Matrix Notation: LME Example and GLMM Example GLMM Worked Examples Culcita (Data is available off the course weppage and paper available in Course Documents Folder on BB) For a nice description of interpreting coefficients in logistic regression see p. 8 of Lecture 10
Dec. 12 Review and Data Project Presentations see Data Analysis Project web page for info.	Dec. 14 Data Project Presentations see Data Analysis Project web page for info. Project due! CLASS MEETS in EBA-249!	Final Exam, Mon. Dec. 19, 3:30-5:30PM, in GMCS-313 Final Exam Information Review: The tobbaco experiment is available at: tobbaco.r