HAP 719: Advanced Statistics I

This course covers principles and methods of statistical data analysis and inference. Examines topics such as ANOVA techniques, linear and logistic regression. The course covers data preparation, including missing value imputation, analysis of categorical data, and checking assumptions of regression. The course emphasizes analyses of health related data sets and interpretation of statistical outputs.

Syllabus

1: Distributions
2: Analysis of Variance
3: Ordinary Regressions, Assumptions
4: Ordinary Regressions, Missing Values
5: Model Building & More Exercises
6: Midterm Exam
7: Logistic Regression, Assumptions
8: Logistic Regression, Interpretation & Missing Values
9: Regression through Search
10: Final Exam

George Mason University's Department of Health Administration and Policy allows you to exam out of this course and receive 3 graduate level credits for it.  Study course material on your own and when ready take the exam.