This course is designed to provide an introduction to Biostatistics to graduate students in the Health Sciences. It aims to focus on topics and applications present in Laboratory Medicine and Pathobiology. Students will become familiar with fundamental concepts of biostatistical methods and their application to real research problems. The concepts of types of data, descriptive statistics, probability distributions, hypothesis testing, correlation, linear regression and analysis of variance will be covered. The course will be using the R software for practical examples and practice exercises. Students are expected to learn how to use the R software for simple data analysis using methods covered in the course. Tutorials on how to use the R software will be provided. Estimated course enrollment: ~ 20 students. Estimated TA support: 1 TA (70 hours). Class schedule: To be confirmed, 36 hours of contact time.
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Job Type
Part-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree