QSB 285: Biostatistics
For graduate students in QSB desiring to learn more about statistical inference and methods for the analyses of biological datasets. Covers probability, linear and logistic regression, multivariate models, parametric and non-parametric models, bootstrap, hypothesis testing and causal inference. Students will also read papers and reproduce some of the main statistical analyses for homework. For the final project students will choose a dataset of their choice to analyze. Otherwise the instructor will pick one for them. Students will write reports and give a final presentation of their data analysis
Prerequisite: Prior knowledge of calculus, linear algebra, and programming highly recommended. Open only to major(s): Quantitative and Systems Biology. Normal Letter Grade only. Discussion included.
Fall 2019 course scheduling information
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