STAT 700 Calendar

STAT 700 Calendar

Monday

Wednesday

Additional Information

Aug. 24
Introduction and Review of Linear Models

Aug. 26
Review of Linear Models (cont.)
.

Aug. 31
Linear Models (cont.)

Sep. 2
Linear Models (cont.)
Lab: Linear Models and ANOVA in R
Lab1

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
HW#1 due 9/9 5:30PM (see Canvas)

Sep. 7
Labor Day
No Class, yipee!

Sep. 9
Linear Models, Quadratic Forms and ANOVA
Lab: Linear Models and ANOVA in R (cont.)
Lab1

HW#2 due 9/16 5:30PM (see Canvas)

Sep. 14
ANOVA (one-way)
Lab: ANOVA in R
Lab2

Sep. 16
ANOVA (two-way)
Lab: ANOVA in R
Lab2

Rsquared and Adjusted Rsquared: Formula
ANOVA with Interactions Tutorial (See RHS for list)
HW#3 due 9/23 5:30PM (see Canvas)

Sep. 21
Random Effects Models (Introduction)
Chapter 1, (2.1)

Sep. 23
Random Effects Models (cont.)
Linear Mixed Models in Matrix Notation
Chapter 2, (2.2.3)

HW#4 due 9/30 5:30PM (see Canvas)

Sep. 28
Linear Models in Matrix Notation
MLE and GLS
Chapter 2, (2.2.3)

Sept. 30
Nonlinear Models

HW#5 due 10/7 5:30PM (see Canvas)

Oct.5
Nonlinear Models
Lab: Nonlinear Models
Lab3

Oct. 7
Nonlinear Models (cont.)
Bootstrapping

Nonlinear Regression CIs
Midterm Exam, Wed. Oct. 14
Part I: in-class, Part II: take-home
Midterm Exam Information

No Homework due week of Midterm Exams

Oct. 12
The Nonparametric Bootstrap
Lab (Part I)

Oct. 14
Midterm Exam, In-class
Midterm Exam Information

.

Oct. 19
Random Effects Models (Introduction)
Chapter 1, (2.1)
Linear Mixed Models
Chapter 2 Matrix Notation
Chapter 3 Rat Pup Data and code in (3.4.3 R)
Lab5

Oct. 21
Linear Mixed Models
Chapter 3 Rat Pup Data and code in (3.4.3 R)
Lab5

Reference: Laird and Ware, (1982)
HW#6 due 10/28 5:30PM (see Canvas)

Oct. 26
Mixed Models - Rat Pup Example (cont.)
REML

Oct. 28
Longitudinal Data and Mixed Models
REML Chapter 2

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
HW#7 due 11/4 5:30PM (see Canvas)

Nov. 2
Predictions (BLUPs) of Random Effects
Longitudinal Data and Mixed Models
REML Chapter 2
LME Model and within Subject Correlation Models.

Nov. 4
LME Model
Repeated Measures ANOVA
Class Example Return to Orthodont OrthoMF.pdf
and R code: orthoMF.r
Repeated Measurment ANOVA: Ergometrics Stool Example
Class Example: ergoStool and plots
Here is a nice description of Generalized Least Squares
(From Dr. Ruczinski)
Class Example: GLS R code: class_ex_gls.r
HW#8 due M 11/16 5:30PM (see Canvas)

Nov. 9
Chapter 4
(Case Study Math Gain)
Three-level model
Lab6

Nov. 11
Veterans Day
Campus Closed - no class

.

Nov. 16
LMM and NonlinearMM
Soybean Data Example

Nov. 18
LMM and NonlinearMM
Soybean Data Example

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

Monday	Wednesday	Additional Information
Aug. 24 Introduction and Review of Linear Models	Aug. 26 Review of Linear Models (cont.)	.
Aug. 31 Linear Models (cont.)	Sep. 2 Linear Models (cont.) Lab: Linear Models and ANOVA in R Lab1	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 HW#1 due 9/9 5:30PM (see Canvas)
Sep. 7 Labor Day No Class, yipee!	Sep. 9 Linear Models, Quadratic Forms and ANOVA Lab: Linear Models and ANOVA in R (cont.) Lab1	HW#2 due 9/16 5:30PM (see Canvas)
Sep. 14 ANOVA (one-way) Lab: ANOVA in R Lab2	Sep. 16 ANOVA (two-way) Lab: ANOVA in R Lab2	Rsquared and Adjusted Rsquared: Formula ANOVA with Interactions Tutorial (See RHS for list) HW#3 due 9/23 5:30PM (see Canvas)
Sep. 21 Random Effects Models (Introduction) Chapter 1, (2.1)	Sep. 23 Random Effects Models (cont.) Linear Mixed Models in Matrix Notation Chapter 2, (2.2.3)	HW#4 due 9/30 5:30PM (see Canvas)
Sep. 28 Linear Models in Matrix Notation MLE and GLS Chapter 2, (2.2.3)	Sept. 30 Nonlinear Models	HW#5 due 10/7 5:30PM (see Canvas)
Oct.5 Nonlinear Models Lab: Nonlinear Models Lab3	Oct. 7 Nonlinear Models (cont.) Bootstrapping	Nonlinear Regression CIs Midterm Exam, Wed. Oct. 14 Part I: in-class, Part II: take-home Midterm Exam Information No Homework due week of Midterm Exams
Oct. 12 The Nonparametric Bootstrap Lab (Part I)	Oct. 14 Midterm Exam, In-class Midterm Exam Information	.
Oct. 19 Random Effects Models (Introduction) Chapter 1, (2.1) Linear Mixed Models Chapter 2 Matrix Notation Chapter 3 Rat Pup Data and code in (3.4.3 R) Lab5	Oct. 21 Linear Mixed Models Chapter 3 Rat Pup Data and code in (3.4.3 R) Lab5	Reference: Laird and Ware, (1982) HW#6 due 10/28 5:30PM (see Canvas)
Oct. 26 Mixed Models - Rat Pup Example (cont.) REML	Oct. 28 Longitudinal Data and Mixed Models REML Chapter 2	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 HW#7 due 11/4 5:30PM (see Canvas)
Nov. 2 Predictions (BLUPs) of Random Effects Longitudinal Data and Mixed Models REML Chapter 2 LME Model and within Subject Correlation Models.	Nov. 4 LME Model Repeated Measures ANOVA	Class Example Return to Orthodont OrthoMF.pdf and R code: orthoMF.r Repeated Measurment ANOVA: Ergometrics Stool Example Class Example: ergoStool and plots Here is a nice description of Generalized Least Squares (From Dr. Ruczinski) Class Example: GLS R code: class_ex_gls.r HW#8 due M 11/16 5:30PM (see Canvas)
Nov. 9 Chapter 4 (Case Study Math Gain) Three-level model Lab6	Nov. 11 Veterans Day Campus Closed - no class	.
Nov. 16 LMM and NonlinearMM Soybean Data Example	Nov. 18 LMM and NonlinearMM Soybean Data Example	Class example: NLME Model , Soybean (R code) and plots