COURSE DESCRIPTION: This course will meet three times a week for combined lecture/lab sessions to introduce the basic concepts and methods of regression analysis. Topics include linear regression, the analysis of two-way tables, One-way and Two-way ANOVA, permutation tests, logistic regression. Introduces and employs the freely-available statistical software, R, to explore and analyze data. This course is pre-requisite for Quantitative Skills for the Biomedical Researcher III.
REQUIRED MATERIALS: No textbook required; Computer with R freeware installed.
PREREQUISITES: Quantitative Skills for the Biomedical Researcher I or equivalent.
STUDENT PREPARATION: No specific background preparation needed.
SUITABLE FOR 1ST YEAR STUDENTS: Yes. Required for all 1st year PhD and MSTP students, and 1st year PREP scholars.
UNIQUE TRAINING OFFERED IN THIS COURSE: Students will learn the basic statistical tools for studying association between variables and gain proficiency in the R programming language. No overlap with existing courses.
STUDENT ASSESSMENTS: 40% homework, 60% Take home exam.
CREDIT HOURS: 1.0