Computational Statistics for Biomedical Sciences

2 Credits, Fall Semester

This course will provide a practical introduction to statistical analysis of biological and biomedical data. Basic techniques will be covered, including descriptive statistics, elements of probability, hypothesis testing, nonparametric methods, correlation analysis, and linear regression. Emphasis will be on how to choose appropriate statistical tests, how to assess statistical significance, and how to avoid common mistakes in analysis of large datasets. This course is geared toward graduate students in the biological sciences, but others are welcome if space permits. No previous knowledge in statistics is required, but some proficiency in R will be assumed.

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