August 27	Lecture 1: Introduction	SAS program
September 01	Lecture 2: Descriptive statistics (I)	SAS program
September 03	Lecture 3: Descriptive statistics (II)
September 08	Lecture 4: Correlation analysis and linear regression	SAS program A checklist for linear regression Notes on model diagnostics
September 10	Lecture 5: Linear regression: Estimation and hypothesis testing
September 15	Lecture 6: Linear regression: Prediction and model diagnostics
September 17	Lecture 7: Linear regression: Model diagnostics
September 22	Lecture 8: Linear regression: Model selection
September 24	Lecture 9: Basics of hypothesis testing and t-tests	SAS program
September 29	Lecture 10: Nonparametric tests
October 01	Lecture 11: Introduction to SAS macro	SAS program
October 06	Lecture 12: Permutation tests and bootstrap	SAS program %boot macro SurveySelect Example
October 08	Lecture 13: Power analysis	SAS program Power analysis in SAS
October 13	Lecture 14: One-way ANOVA and multiple comparison procedures	SAS program A short note on contrasts in two-way ANOVA
October 15	Lecture 15: Two-way ANOVA and contrast specification
October 20	Lecture 16: Interaction
October 27	Lecture 17: Nested Design and ANCOVA
October 29	Lecture 18: Introduction to random effect and mixed effect models	SAS program
November 3	Lecture 19: Analysis of repeated measures/longitudinal data (I)	SAS program
November 5	Lecture 20: Analysis of repeated measures/longitudinal data (II)
November 10	Lecture 21: Contingency table analysis (I)	SAS program
November 12	Lecture 22: Contingency table analysis (II)
November 17	Lecture 23: Logistic Regression (I)	SAS program
November 19	Lecture 24: Logistic Regression (II)
November 24	Lecture 25: Logistic Regression (III)	SAS program 1 SAS program 2
December 1	Lecture 26: Poisson Regression	SAS program
December 3	Lecture: 27: Multivariate data analysis	SAS program