CLR 440 - Bioanalytics

Examines study designs and statistical analyses commonly used in biopharmaceutical clinical trials and post-marketing studies with focus on interpreting descriptive and inferential statistics. Explores techniques such as randomization, blinding, and placebo-control. Reviews industry processes for data analysis. Discusses basic concepts in epidemiology, pharmacoeconomics, psychometrics/patient-reported outcomes.

Credit Hours: 3

Prerequisite Courses: CLR 301 with a C or better and CLR 330 with a C or better and CLR 350 with a C or better.
Additional Restrictions/Requirements: Restricted to CLR majors and CLR minors.
University Studies: Building Competencies/Information Literacy, Common Requirements/Critical Reasoning
Course Repeatability: Course may not be repeated. Maximum Repeatable Hours: 3

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