The Fundamentals of Biostatistics and Clinical Trial Design workshop will be held April 25, 2020, in St. Louis, Missouri.

Click below for the full meeting schedule.

Fundamentals of Biostatistics and Clinical Trial Design Premeeting Workshop

Friday, April 26, 2019 from 1:00 PM to 6:00 PM CDT at Recreation and Student Center Building: Second Floor, Rooms 220/221

Available for 5.00 hours of CPE credit
Activity Number: 0217-9999-19-077-L04-P

This interactive workshop is designed for those pharmacists wanting to obtain an in-depth refresher of core concepts related to biostatistics and clinical trial design. This workshop is approved for recertification credit in Ambulatory Care Pharmacy, Critical Care Pharmacy, Pediatric Pharmacy, and Pharmacotherapy. Participants wishing to earn recertification credit must specify which type of recertification credit they wish to earn in advance of the session. This workshop is limited to 100 participants.
*Separate Registration Required*

Faculty: Larry W. Segars, Pharm.D., DrPH, FCCP, FACE, BCPS
Associate Dean, College of Biosciences; Associate Professor of Pharmacology, College of Osteopathic Medicine, Kansas City University of Medicine and Biosciences, Kansas City, Missouri
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Larry W. Segars, Pharm.D., DrPH, FCCP, FACE, BCPS
Faculty: G. Robert DeYoung, Pharm.D., FCCP, BCPS
Manager, Clinical Pharmacy Services and Residency (PGY-1) Program Director, Mercy Health Saint Mary's Campus, Grand Rapids, Michigan
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G. Robert DeYoung, Pharm.D., FCCP, BCPS

Learning Objectives
1. Apply your knowledge of descriptive statistics to determine the most appropriate way to summarize the results of your clinical trial and interpret the results of others.
2. Compare factors that influence statistical decision errors and distinguish which are most important when determining the sample size required to achieve a predetermined study power.
3. Select the most appropriate statistical test based on the data collected and the clinical research methodology.
4. Delineate and differentiate the various designs and methodologies of common types of Observational (natural) & Interventional (experimental) studies, specifically focusing on each design’s purpose/focus, structure, patient-allocation techniques, and differentiating strengths & weaknesses.
5. Delineate, calculate, and interpret common elements associated with medical screenings, measures of disease frequency, and measures of association for diseases.