All campus visitors must be fully vaccinated (boosted). Masks are highly recommended. Instructors & staff are required to submit a daily symptom check. COVID updates.
Clinical studies succeed or fail on the strength of their statistics. This course takes a practical approach to address the fundamental statistical concepts essential for non-statisticians involved in clinical research. Through lectures, discussions and in-class exercises, the instructor explores clinical study designs, hypothesis testing, sample size calculations, assumptions, controls, endpoints, data-management principles, data presentations and analysis plans, methods of analysis, and conclusions. You'll learn how to interpret the statistics commonly encountered in clinical research as well as how to communicate effectively with statisticians. The approach is practical, simple and qualitative. No previous background in statistics is required.
- To be successful in this class all students should have working knowledge of Google’s G Suite or Microsoft Office, proper email etiquette, and essential understanding of Canvas.
At the conclusion of the course, you should be able to
- Identify quantitative methods for torturing data
- Recognize concepts such as variability, confidence intervals, hypothesis testing, and p-values
- Distinguish various study designs and identify techniques to avoid bias in current and new studies
- Knowledgeably review the medical literature
- Comfortably communicate with a professional biostatistician
- Estimation vs hypothesis testing
- Parametric vs nonparametric tests
- Clinical trial designs
Professional Credit: CA BRN/LVN Credit--Provider #CEP13114
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Accessibility and Accommodation
For accessibility questions or to request an accommodation, please visit Access for Students with Disabilities or email the Extension registrar.
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Estimated Cost: $660
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