This course provides an overview of biostatistical reasoning and modeling as it relates to oncology. The seven sections explore practical uses of statistics, common tests used in oncology, study design, statistical considerations in biomarker driven research, Bayesian and adaptive trial design, advanced statistical concepts and practical applications.
After participation in this course, learner will be better able to:
- Explain the importance of confidence intervals in describing uncertainty in study results
- Interpret output from a survival analysis and competing risks analysis, including survival curves, median survival, hazard ratio, and cumulative incidence
- Explain the difference between a prognostic and predictive biomarker
- Examine the necessary criteria for implementation of a successful adaptive clinical trial
- Critique systematic reviews to determine readiness for application of findings
- Medical Knowledge
Institute of Medicine (IOM) Competencies:
- Working as a part of interprofessional teams
- Delivering patient-centered care
- Practicing evidence-based medicine
IMPORTANT NOTE: This course expires on November 30, 2019. Participants must complete all necessary course components by this date.
5 Credits/Points are available for participation in this course. Certificate and credit types available include:
- AMA PRA Category 1 Credits™
- ABIM MOC Points
- CNE Contact Hours
- CPE Credits
- Certificate of Participation may be used to confer credit; however, all final decisions regarding the awarding of credits will be made by the licensing organization to which the credits are submitted.
- Certificate of Completion may be used to document participation, but no credit will be conferred.