Thinking Critically
Interpreting Randomized Clinical Trials
Overview
Internet Enduring Material Sponsored by the Stanford University School of Medicine. Presented by the Department of Health Research and Policy (Division of Epidemiology) at Stanford University School of Medicine
This course seeks to fulfill the clinical community’s need to improve skills in the critical evaluation of clinical research papers. Competency in critical appraisal skills can have a significant impact by improving clinical practice, quality of research projects, and peer-review of manuscripts and grants. The course will utilize efficient and engaging videos with relevant clinical examples to cover essential research methodology principles. The online format will provide opportunities for self-paced learning and practicing critical appraisal of a variety of published studies that evaluate benefit, harm, and prognosis.
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)
The Stanford University School of Medicine designates this enduring material for a maximum of 2.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
If you would like to earn CME credit from Stanford University School of Medicine for participating in this course, please review the information here prior to beginning the activity.
What you'll learn
- Analyze the concepts of randomization and blinding in reducing bias.
- Develop strategies to critically appraise randomized clinical trials and determine if study results are valid.
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Rating | Not enough ratings |
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Length | 1 weeks |
Effort | 1 weeks, 2–3 hours per week |
Starts | On Demand (Start anytime) |
Cost | $0 |
From | StanfordOnline, Stanford University via edX |
Instructors | Steven Goodman, Rita Popat, Sarah Osmundson, Raymond Deng |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Science |
Tags | Data Analysis & Statistics Medicine |
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Rating | Not enough ratings |
---|---|
Length | 1 weeks |
Effort | 1 weeks, 2–3 hours per week |
Starts | On Demand (Start anytime) |
Cost | $0 |
From | StanfordOnline, Stanford University via edX |
Instructors | Steven Goodman, Rita Popat, Sarah Osmundson, Raymond Deng |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Science |
Tags | Data Analysis & Statistics Medicine |
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