American College of Clinical Pharmacy
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BCOP Clinical Sessions -- An Oncology Pharmacist's Guide to Bayesian Statistics

Sunday, October 08, 2017 from 4:00 PM to 6:00 PM MST at Phoenix Convention Center North Building Street Level: Meeting Room 126

Available for 2.00 hours of CPE credit
Activity Number: 0217-9999-17-161-L04-P
Activity Type: An Application-Based Activity

The BCOP Clinical Sessions are part of the professional development program for the recertification of board-certified oncology pharmacists, approved by the Board of Pharmacy Specialties and cosponsored by ACCP and the American Society of Health-System Pharmacists (ASHP). Part II will be presented on Monday, October 9, from 8:30 a.m. to 10:30 a.m.



Access to the BCOP Clinical Sessions posttests (two posttests - one for each session) will be available in mid-November at www.accp.com/myaccount to anyone who has purchased access to the posttest. For participants who have not purchased access to the posttest, access can be purchased until 5:30p.m. on Tuesday, October 10 at the ACCP Registration Desk. The deadline to submit posttests for these sessions will be March 31, 2018. Posttests will be available on or around November 30.


Speakers
  • Robert Beckett, Pharm.D.Faculty: Robert Beckett, Pharm.D.
    Associate Professor of Pharmacy Practice, Director of the Drug Information Center, Manchester University, Fort Wayne, Indiana
      View Biography

  • Joseph K. Jordan, Pharm.D., BCPSFaculty: Joseph K. Jordan, Pharm.D., BCPS
    Associate Professor of Pharmacy Practice, Drug Information Specialist - IU Health, Butler University, Indianapolis, Indiana
      View Biography


Learning Objectives
1. Compare and contrast Bayesian and frequentist statistics and how they can be used in oncology-related clincal studies.
2. nterpret Bayesian statistics information in the methods and results of an oncology-related clinical study, including adaptive designs.
3. Evaluate Bayesian statistics information in the methods and results of an oncology-related clinical study, including adaptive designs.
Welcome and Overview
4:00 PM
Introduction to Basic Bayesian Concepts
4:30 PM
Published Examples of Bayesian Statistics
5:00 PM
Practice Exercise Workshop
5:20 PM
Closing and Questions
6:00 PM