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Medical Statistics II: Probability and Inference


Medical Statistics II: Probability and Inference Banner

  • Overview
  • Faculty
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Add to Calendar Medical Statistics II: Probability and Inference 5/15/2023 12:00:00 AM 5/14/2026 11:59:00 PM America/Los_Angeles For More Details: https://stanford.cloud-cme.com/course/courseoverview?P=0&EID=46114 Description: Medical Statistics II is the second in a three-course statistics series. Medical Statistics II covers the foundations of statistical inference. Topics include: basic probability, probability distributions, statistical inference, standard error, confidence intervals, p-values, statistical power, Type I and Type II error, Bayesian statistics, and equivalence testing. These theoretical concepts are... On Demand false MM/DD/YYYY


Date & Location
Monday, May 15, 2023, 12:00 AM - Thursday, May 14, 2026, 11:59 PM, On Demand

Overview
Medical Statistics II is the second in a three-course statistics series. Medical Statistics II covers the foundations of statistical inference. Topics include: basic probability, probability distributions, statistical inference, standard error, confidence intervals, p-values, statistical power, Type I and Type II error, Bayesian statistics, and equivalence testing. These theoretical concepts are taught through hands-on computer simulations in R or SAS (students may use either program). The course also teaches students to recognize common statistical misconceptions and errors using example from the medical literature and popular press.

Prerequisites: Medical Statistics I or the equivalent recommended.

What you will learn
- How to run simulations in either SAS or R
- How to solve probability problems
- How statisticians think about and quantify uncertainty
- How to correctly interpret and use different statistical tools for inference

Registration

  Release Date: May 15, 2023
  Expiration Date: May 14, 2026
  Estimated Time to Complete: 13.0 hours
  Registration Fee: See fee schedule on registration.

Click Begin (at the top) to learn more about how to enroll in the course.


Credits
AMA PRA Category 1 Credits™ (13.00 hours), Non-Physician Participation Credit (13.00 hours)

Target Audience
Specialties - Allergy, Immunology, & Rheumatology, Anesthesiology, Cardiovascular Health, Complimentary Medicine , Critical Care & Pulmonology, Dermatology, Emergency Medicine & Trauma, Endocrinology & Metabolism, Family Medicine & Community Health, Gastroenterology & Hepatology, Genetics & Genomics, Gerontology, Hematology, Infectious Disease & Global Health, Internal Medicine, Nephrology, Neurologic Surgery, Neurology , Obstetrics & Gynecology, Occupational Therapy, Oncology, Ophthalmology, Orthopedics & Sports Medicine, Other, Otolaryngology (ENT), Pain Medicine, Pathology & Laboratory Medicine, Pediatrics, Physical Medicine and Rehabilitation, Physical Therapy, Plastic Surgery, Preventative Medicine & Nutrition, Psychiatry & Behavioral Sciences, Radiology, Sleep Medicine, Social Welfare , Speech Language Pathology, Surgery, Urology
Professions - Fellow/Resident, Non-Physician, Physician, Student


Objectives
At the conclusion of this activity, participants should be able to:

  1. Analyze, interpret, describe, and visualize data
  2. Complete basic programming in R or SAS
  3. Analyze the foundations of probability and statistical inference
  4. Review statistical tests and graphs used in medical research
  5. Consider common statistical pitfalls and errors.

Accreditation

In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

Credit Designation

American Medical Association (AMA)
Stanford Medicine designates this Enduring Material for a maximum of 13.00 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.


Additional Information

Cultural and Linguistic Competency
The planners and speakers of this CME activity have been encouraged to address cultural issues relevant to their topic area for the purpose of complying with California Assembly Bill 1195. Moreover, the Stanford University School of Medicine Multicultural Health Portal contains many useful cultural and linguistic competency tools including culture guides, language access information and pertinent state and federal laws.  You are encouraged to visit the Multicultural Health Portal: http://lane.stanford.edu/portals/cultural.html

Reference/Bibliography List
For additional resources, please visit the course.

For activity related questions, please contact
  650.204.3984
  [email protected]



Mitigation of Relevant Financial Relationships


Stanford Medicine adheres to the Standards for Integrity and Independence in Accredited Continuing Education.

The content of this activity is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company for anyone who was in control of the content of this activity. 

Faculty Member Information
Role in activity
Name of Ineligible Company(s) / Nature of Relationship(s)
Lesley S Park, PhD
Research Scientist
Stanford
Co-Course Director
Kristin Sainani, PhD
Associate Professor
Stanford University
Co-Course Director
Jackie Peterson
Program Manager
Stanford
Reviewer

Medical Statistics II: Probability and Inference
INSTRUCTIONS: Click "Launch Website" to enroll on our external learning management system (LMS).  With successful completion at the end of the course, an evaluation and claim credit url link will be provided to you to access the Stanford CME MY CE Portal with more detailed instructions. 
Launch Website

 

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