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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
Department of Statistics
Harvard University
Copyright 2006 by Mark E. Irwin