INTRODUCTION TO BIOSTATISTICS
Course designed for the biomedical researcher. Topics include: descriptive statistics, hypothesis testing, estimation, confidence intervals, t-tests, chi-squared tests, analysis of variance, linear regression, correlation, nonparametric tests, survival analysis and odds ratio. Biomedical applications used for each topic.
Topics
- descriptive statistics
- hypothesis testing
- estimation
- confidence intervals
- t-tests
- chi-squared tests
- analysis of variance
- linear regression
- correlation
- nonparametric tests
- survival analysis and odds ratio
Topics explicitly listed in official catalogue description
Prerequisites & course information
Requisites: Graduate/professional standing. Not open to students with credit for STAT 511 or POP HLTH/B M I 551 Course Designation: Level - Intermediate L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Understand building blocks and fundamentals that support core themes of Biostatistics in the application of biomedicine and public health Audience: Both Grad & Undergrad 2. Conduct basic statistical analyses of biomedical data Audience: Both Grad & Undergrad 3. Use R for statistical computing Audience: Both Grad & Undergrad 4. Critique methods and evidence from others' studies Audience: Graduate 5. Collaborate effectively with biostatisticians Audience: Graduate Learning Outcomes: 1. Understand building blocks and fundamentals that support core themes of Biostatistics in the application of biomedicine and public health Audience: Both Grad & Undergrad 2. Conduct basic statistical analyses of biomedical data Audience: Both Grad & Undergrad 3. Use R for statistical computing Audience: Both Grad & Undergrad 4. Critique methods and evidence from others' studies Audience: Graduate 5. Collaborate effectively with biostatisticians Audience: Graduate
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- INTRODUCTION TO BIOSTATISTICS · 3 credits.