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| Mark Irwin |
Statistics 149 - Lecture Materials
- Introductory Material (February 2)
- R code for lecture: lecture1.R
- Regression review (February 7)
- R code for lecture: lecture2.R
- Regression review / Weighted Least Squares
(February 9)
- R code for lecture: lecture3.R
- Inference on Proportions (February 14)
- Relative Risks and Odds Ratios (February 16)
- More on 2x2 Tables (February 21)
- More on Tests on 2x2 Tables (February 23)
- Combining Results from Multiple 2x2 Tables and Motivating Logistic Regression (February 28)
- Logistic Regression - Part I (March 2)
- R code for lecture: lecture9.R
- Logistic Regression - Part II (March 7)
- R code for lecture: lecture10.R
- Bioassay // Generalized Linear Models - Part I (March 9)
- R code for lecture: lecture11.R
- Choosing Link Function/Probit Regression/Model Selection (March 14)
- R code for lecture: lecture12.R
- Model Assessment (March 16)
- R code for lecture: lecture13.R
- Model Assessment - Part II (March 23)
- R code for lecture: lecture14.R
- Regression Models for Count Data
(April 4)
- R code for lecture: lecture15.R
- Overdispersion (April 6)
- R code for lecture: lecture16.R
- Negative Binomial Model for Counts /
Introduction to the Log-linear Model for Contingency Tables (April 11)
- R code for lecture: lecture17.R
- Log-linear Model for Two-way Tables
(April 13)
- R code for lecture: lecture18.R
- Log-linear Model for Three-way Tables
(April 18)
- R code for lecture: lecture19.R
- Issues in Fitting Contingency Tables
(April 20)
- R code for lecture: lecture20.R
- Continuous Response Variables and GLMs
(April 25)
- R code for lecture: lecture21.R
- Random Effects and Mixed Models - Part I
(April 27)
- R code for lecture: lecture22.R
- Random Effects and Mixed Models - Part II
(May 2)
- R code for lecture: lecture23.R
- MPG Data: MPG.txt
- Orthodont Data: orthodont.txt
- Random Effects and Mixed Models - Part III
(May 4)
- R code for lecture: lecture24.R
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