Activity ID
3805Expires
December 11, 2021Format Type
EnduringCME Credit
0.5Fee
$30CME 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.
ABMS Member Board Approvals by Type
ABMS MOC Part II CME Activity
Allergy and Immunology
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Commercial Support?
NoNOTE: 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
