Date Subject
1-13 Experiments, observational studies, and models
1-18 Simple linear regression (R) (SAS)
1-20 Matrix algebra
1-25 Multiple linear regression: Estimation and model fitting (R) (SAS)
1-27 Multiple linear regression: Inference, part I
2-1 Multiple linear regression: Inference, part II (R) (SAS)
2-3 Multiple linear regression: Inference, part III
2-8 Inference: Case study (R) (SAS)
2-10 Model diagnostics (R) (SAS)
2-17 Model selection I
2-22 Model selection II (R) (SAS)
2-24 Model selection III
3-1 ANOVA and experimental design
3-3 Generalized linear models and exponential families
3-8 Weighted least squares (R) (SAS)
3-22 Generalized linear models: Estimation and model fitting
3-24 Likelihood theory
3-29 Logistic regression (R) (SAS)
3-31 Logistic regression: Probabilities and odds ratios (R) (SAS)
4-11 Logistic regression: Miscellaneous topics
4-12 Logistic regression: Diagnostics (R) (SAS)
4-14 Logistic regression: Model selection
4-19 Poisson regression (R) (SAS)
4-21 Poisson regression: Further topics
4-26 Nominal and ordinal logistic regression (R)