Michael Walker, Ph.D.
When and Where:
Fall quarter, Mon and Wed 1:00 to 2:50 in BRF2 5A03
Office Hours: After class and by appointment
This course introduces statistical concepts and analysis methods for biomedical research. Topics include descriptive statistics, t-tests, analysis of variance, correlation, regression, power and sample size, factorial experiment design, logistic regression and survival analysis. Examples are drawn from basic and clinical research. Concepts are illustrated through in-class exercises and biomedical literature. Students will use the R programming language to perform statistical analyses. No prior background in statistics or programming us assumed.
Course grades will be based on:
Homework and class exercises: 20%
Midterm exam: 20%
Final exam: 60%
Textbook: "OpenIntro Statistics" by David M Diez, Christopher D Barr, Mine Çetinkaya-Rundel.
This textbook is available as a free PDF fiel from www.openintro.org/stat/.