Otolaryngologists must be able to interpret medical literature in order to deliver effective, evidence-based care. Furthermore, a knowledge of modern data analysis may help otolaryngologists both interpret data as well as analyze them. Currently, many otolaryngologists understand how to interpret medical literature, but lack the knowledge on how to perform statistical analysis beyond simple rudimentary techniques. By providing attendees with a working knowledge of R, this session will enable cutting edge data analysis.
Credit & MOC Details
Credit information is provided by the course provider. We recommend confirming credit eligibility with the provider or your licensing board before starting the activity.
Credit types
MOC types
FDA REMS
Qualifies for MIPS
Target Specialties
Specialties served/covered
- Allergy & Clinical Immunology
- Diagnostic Radiology
- Facial Plastic & Reconstructive Surgery
- Foot & Ankle Surgery
- General Otolaryngology
- Head & Neck Surgery
- Interventional Radiology
- Laryngology
- Medical Oncology
- Neuroradiology
- Otology & Neurotology
- Pediatric Otolaryngology
- Pediatric Radiology
- Rhinology
- Sleep Medicine
- ENT & Head Neck
- Medical Subspecialties
- Oncology & Hematology
- Orthopedics
- Radiology
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- Enduring / On-demand
- Credit · Up to 1 credit
- MOC · Up to 1 point
- Paid · fee on provider site
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ReleasedDec 1, 2025
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Last day to claim creditDec 2, 2028 2 years left
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