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Schedule

The Fundamentals of Biostatistics and Clinical Trial Design premeeting workshop will be held Friday April 22, 2022 at the University of Health Sciences & Pharmacy in St. Louis, Missouri.

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


Fundamentals of Biostatistics and Clinical Trial Design Workshop

Friday, April 22, 2022 from 1:00 PM to 6:00 PM CDT
at Academic and Research Building: First Floor, Room 111
Available for 5.00 hours of CPE credit
Activity Number: 0217-9999-22-033-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. In order to earn the associated recertification credit for this workshop participants must take and pass the workshop posttest no later than May 18, 2023.

Speakers

Speaker: Larry W. Segars, Pharm.D., FCCP, BCPS
Chair, Department of Basic Sciences-KC Campus, College of Osteopathic Medicine Associate Professor of Pharmacology & Biosciences, Kansas City University, Kansas City, Missouri
View Biography
Larry W. Segars, Pharm.D., FCCP, BCPS
Segars
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
View Biography
Mate M. Soric, Pharm.D., FCCP, BCPS
Soric

Learning Objectives

  1. Delineate 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.
  2. Define the two primary types of errors possible when statistically interpreting and making inferences on data being compared.
  3. Define and interpret a p value and confidence intervals, including the concept of statistical significance.
  4. Define the difference between independent and paired (repeated measures) data measurements and comparisons.
  5. Select the most appropriate statistical test given the type/level of data measurement assessed and given the research question being addressed in a study.
  6. Differentiate and recognize the designs and structures of key studies utilized in medical publications.
  7. Define and interpret key study-related concepts and terms.
  8. Describe and calculate the most important epidemiological terms associated with healthcare and research.
  9. Describe and calculate the key terms associated with healthcare screenings.

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