Activity

Activity ID

3805

Expires

December 11, 2021

Format Type

Enduring

CME Credit

0.5

Fee

$30
CME Provider

JAMA

Description

The statistical concept of Bayes comes up in clinical medicine all the time. It simply means that what you know about something factors into how you analyze it. This contrasts with the commonly used statistical approach called frequentist analysis of hypothesis testing, in which it is assumed that every situation is unique and not influenced by the past. Bayesian analysis accounts for how prior information gets factored into decision making and is important to understand when applying clinical research findings to the delivery of medical care. In this interview Anna E. McGlothlin, PhD, senior statistical scientist at Berry Consultants in Austin, Texas, explains these concepts for clinicians.

Disclaimers
1. This activity is accredited by the American Medical Association.
2. This activity is free to AMA members.

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Commercial Support?
No

NOTE: If a Member Board has not deemed this activity for MOC approval as an accredited CME activity, this activity may count toward an ABMS Member Board’s general CME requirement. Please refer directly to your Member Board’s MOC Part II Lifelong Learning and Self-Assessment Program Requirements.

Educational Objectives

To understand the basic concepts of Bayesian statistical analysis.

Keywords

Critical Care Medicine, Genetics and Genomics, Global Health, Guide to Statistics and Medicine, Neurogenetics

Competencies

Practice-based Learning & Improvement

CME Credit Type

AMA PRA Category 1 Credit

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