American College of Clinical Pharmacy ®

ACPE The American College of Clinical Pharmacy is accredited by the Accreditation Council for Pharmacy Education as a provider of continuing pharmacy education. The 2022 Fundamentals of Biostatistics and Clinical Trial Design Workshop will provide up to 5.0 contact hours of live continuing pharmacy education credit. This is an application-based activity. To receive the live continuing education credit, each attendee must be registered for and attend the Fundamentals of Biostatistics and Clinical Trial Design Workshop and claim the relevant continuing education hours at http://www.accp.com/ce no later than June 22, 2022.

ACCP Spring Forum
Fundamentals of Biostatistics and Clinical Trial Design Premeeting Workshop
April 22, 2022

Recertification Credit

The Fundamentals of Biostatistics and Trial Design Workshop is part of a Board of Pharmacy Specialties (BPS)-approved professional development program for four specialties: Ambulatory Care Pharmacy (BCACP), Critical Care Pharmacy (BCCCP), Pediatric Pharmacy (BCPPS), and Pharmacotherapy (BCPS). The recertification posttest will be made available at www.accp.com/myaccount on May 18, 2022. To be eligible to earn the relevant BCACP, BCCCP, BCPPS, or BCPS recertification credit you must purchase the recertification posttest, indicate the specialties for which you wish to earn credit, and successfully submit and pass the completed Web-based posttest by 11:59 p.m. (CDT) on May 18, 2023.

To view the learning objectives, click the "Read More" button below each session.

Fundamentals of Biostatistics and Clinical Trial Design Workshop April 22, 2022 Activity No. 0217-9999-22-033-L04-P; 5.00 contact hours. An Application-Based Activity Speaker: Larry W. Segars, Pharm.D., DrPH, FCCP, FACE, BCPS, Rph Chair, Department of Basic Sciences-KC Campus, College of Osteopathic Medicine Associate Professor of Pharmacology & Biosciences, Kansas City University, Kansas City, Missouri Speaker: Mate M. Soric, Pharm.D., FCCP, BCPS Chair and Associate Professor, Department of Pharmacy Practice, Northeast Ohio Medical University College of Pharmacy; Clinical Pharmacy Specialist, Internal Medicine, University Hospitals Geauga Medical Center, Rootstown, Ohio Learning ObjectivesDelineate the key attributes of study variables (data) and the primary levels/categories of data measurement (give examples of each). Develop examples of converting data from one level/category to another. Define the two primary types of errors possible when statistically interpreting and making inferences on data being compared. Define and interpret a p value and confidence intervals, including the concept of statistical significance. Define the difference between independent and paired (repeated measures) data measurements and comparisons. Select the most appropriate statistical test given the type/level of data measurement assessed and given the research question being addressed in a study. Differentiate and recognize the designs and structures of key studies utilized in medical publications. Define and interpret key study-related concepts and terms. Describe and calculate the most important epidemiological terms associated with healthcare and research. Describe and calculate the key terms associated with healthcare screenings.

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Recertification Credit

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