ADD MEETING LINK:
OBJECTIVES: Upon completion of this activity, the participant should be able to:
1. Describe the concept that a confidence interval is theoretically based on repeated samples drawn from a population.
2. Explain that although about 95% of a large number of 95% confidence intervals may cover the population parameter of interest, this does not mean that there is a 95% chance that a single 95% confidence interval covers the parameter of interest.
3. Analyze confidence intervals as an alternative to alpha and p vales in determining if an experimental fining is statistically significant.
FACULTY DISCLOSURE: Randall Moore, MD has no relevant financial relationship(s) with companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.
PLANNER DISCLOSURE: The planners have no relevant financial relationship(s) with companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.
ACCREDITATION: The A. Webb Roberts Center for Continuing Medical Education of Baylor Scott & White Health is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
DESIGNATION: The A. Webb Roberts Center for Continuing Medical Education of Baylor Scott & White Health designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
- 1.00 AMA PRA Category 1 Credit™The A. Webb Roberts Center for Continuing Medical Education of Baylor Scott & White Health is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
- 1.00 Attendance

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