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ENVR 2500 - Biostatistics |
Provides an overview of advanced statistical concepts and approaches for studying biological systems. Explains the mathematical underpinnings of the statistical methods and demonstrates how to implement them in the R programming language to analyze real data. Topics include Bayesian statistics, general and generalized linear models, mixed-effects models, multivariate statistics, and ensemble modeling. Emphasizes the philosophical differences between Bayesian and frequentist approaches and their implications for interpreting statistical results.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Marine & Environment Sciences Department Course Attributes: NUpath Analyzing/Using Data, NUpath Formal/Quant Reasoning, UG College of Science Restrictions: Must be enrolled in one of the following Levels: Undergraduate Corequisites: ENVR 2501 ENVR 2502 |
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