Statistics for Medical Professionals

Wednesday, January 18, 2017, 12:00 AM - Wednesday, April 1, 2020, 11:59 PM PST, Online Course

Internet Enduring Material Sponsored by the Stanford University School of Medicine. Presented by the Departments of Medical Education and Health Research at Stanford University School of Medicine.

This course seeks to fulfill the need in the clinical community to better understand medical statistics as it pertains to practicing evidence based medicine, communicating treatment outcome probability to patients and interpreting the results of studies and scientific papers, and in turn improving quality of patient care. This applies to all specialties in various settings of practice.

Intended Audience

This course is designed to meet the educational needs of an international audience of physicians, residents and medical researchers in all specialties.

• Release Date: September 23, 2014
  Latest Review Date:  July 31, 2019
  Expiration Date:  March 31, 2020  (ENROLLMENT ENDS Jan 28)
  Estimated Time to Complete: 23.50 hours
  CME Credits Offered: 23.50
  Registration Fee: (ENROLLMENT CLOSED)

*This course ends at 12 noon Pacific Time on March 31, 2020.  New enrollment has closed as of January 28, 2020.  The CME certificate and/or credit transcript is available for this course at anytime and available for download under MY CE with successful completion of the post test and evaluation by March 31.

If looking for a similar course, please visit Stanford Medical Statistics Certificate program here.

 

Disclosures

The following planners, speakers, authors and reviewers have indicated that they have no relationships with industry to disclose relative to the content of this activity:

Charles Prober, MD
Senior Associate Dean, Medical Education
Stanford School of Medicine
Course Director

Kristin Sainani, PhD
Clinical Assistant Professor,
Health Research and Policy
Stanford School of Medicine
Co-Course Director and Presenter
Reviewer

 

Irina Tokareva, RN, BSN, MAS
Curriculum and Outcomes Manager
Stanford Center for Continuing Medical Education
Reviewer

Linda G. Baer, MSPH, CCMEP
Director, CME
Stanford Center for Continuing Medical Education
Reviewer

AMA PRA Category 1 Credits™ (23.50 hours), Non-Physician Participation Credit (23.50 hours)

1. Develop strategies to enable translation of medical research into practicing evidence-based medicine through the following statistical methods: understanding bias, random variation, correctly interpret P values, basic probability and conditional probability, spot statistical errors, understand correlated data.
2. Develop strategies to use specific statistical tests, understand basic regression modeling, and Bayesian inference.
3. Develop strategies to effectively communicate prognosis and treatment probabilities to patients.
4. Develop strategies to enable consistent interpretation of research data and provide correct information on study results.

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

Bibliography

Physician Numeracy: Essential Skills for Practicing Evidence-based Medicine. Goutham Rao, MD, Fam Med 2008;40(5):354-8

How can good randomized controlled trials in leading journals be so misinterpreted? Frank J. Veith, MD, J Vasc Surg 2013;57:3S-7S.

Numeracy and Medicine: Key Family Physician Attitudes about Communicating Probability with Patients. Robert Gramling, MD, Jennifer E. Irvin, PhD, Justin Nash, PhD, Christopher Sciamanna, MD, MPH and Larry Culpepper, MD, MPH. J Am Board Fam Med November 1, 2004 vol. 17 no 6.

Practical and statistical issues in missing data for longitudinal patient reported outcomes. Melanie L Bell and Diane L Fairclough. Stat Methods Med Res published online 19 February 2013

Evaluating Mastery of Biostatistics for Medical Researchers: Need for a New Assessment Tool. Felicity Enders. Clin Trans Sci 2011; Volume 4: 448–454

For a complete listing see the References/Resources section of the Course

The Stanford University School of Medicine has received and has used undesignated program funding from Pfizer, Inc. to facilitate the development of innovative CME activities designed to enhance physician competence and performance and to implement advanced technology. A portion of this funding supports this activity.