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Critical Analysis of Randomized Clinical Trials

Master essential skills for evaluating clinical research papers and improve your ability to interpret randomized clinical trials.

Master essential skills for evaluating clinical research papers and improve your ability to interpret randomized clinical trials.

This comprehensive course addresses the healthcare community's need for enhanced critical appraisal skills in evaluating clinical research. Through engaging video content and practical examples, participants learn essential research methodology principles and develop competency in analyzing randomized clinical trials. The curriculum emphasizes efficient learning methods with real-world clinical applications, covering key aspects of research evaluation including benefit assessment, harm analysis, and prognosis studies. Healthcare professionals gain valuable skills that directly impact their clinical practice, research quality, and ability to review scientific manuscripts.

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Critical Analysis of Randomized Clinical Trials

This course includes

1 Week

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free

What you'll learn

  • Understand randomization and blinding principles in reducing bias

  • Develop strategies for critically appraising clinical trials

  • Evaluate research validity and methodology effectiveness

  • Apply critical thinking skills to research interpretation

Skills you'll gain

Clinical Research
Research Methodology
Critical Appraisal
Randomized Trials
Evidence-based Medicine
Statistical Analysis
Study Design
Healthcare Research

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Module Description

This advanced course focuses on developing critical evaluation skills for clinical research papers. Through structured learning modules, participants explore research methodology principles and practice analyzing various published studies. The curriculum emphasizes practical application through relevant clinical examples and provides opportunities for self-paced learning in critical appraisal of research papers.

Fee Structure

Instructors

Pioneer in Medical Research Methodology and Statistics

Dr. Steven Goodman serves as Associate Dean of Clinical and Translational Research and Professor of Epidemiology and Population Health at Stanford University School of Medicine, where he has established himself as a leading authority in medical statistics and research methodology. After earning degrees from Harvard (AB in Biochemistry and Applied Math), NYU (MD), and Johns Hopkins (MHS in Biostatistics and PhD in Epidemiology), he has built an impressive career combining clinical expertise with statistical innovation. As founder and director of the Stanford Program on Research Rigor and Reproducibility (SPORR) and co-director of the Meta-research Innovation Center at Stanford (METRICS), he works to improve the reproducibility and efficiency of biomedical research. His research focuses on the proper measurement and synthesis of research evidence, with particular emphasis on Bayesian approaches and scientific inference. Dr. Goodman's contributions have earned him numerous honors, including the 2016 Spinoza Chair in Medicine from the University of Amsterdam, the 2019 Abraham Lilienfeld award from the American College of Epidemiology, and election to the National Academy of Medicine in 2020. Beyond his academic work, he maintains roles as senior statistical editor for Annals of Internal Medicine and scientific advisor for the Blue Cross-Blue Shield Technology Assessment Program, while continuing to shape the field through his teaching and research in clinical trial methodology, statistical inference, and research ethics.

Rita Popat
Rita Popat

2 Courses

Distinguished Epidemiologist and Medical Education Leader

Dr. Rita Popat serves as Associate Professor of Epidemiology and Population Health at Stanford University, where she has established herself as an accomplished educator and researcher in clinical epidemiology. Her diverse academic background includes a PhD in Epidemiology from Stanford University, an MS in Biostatistics from the University of Massachusetts, and an MS in Physical Therapy from MGH Institute of Health Professions. In her current roles, she serves as Co-Director of the Clinical Research Scholarly Concentration Program and the MS program in Clinical Research & Epidemiology, while also maintaining active involvement in Stanford Medicine's Teaching and Mentoring Academy. Her research focuses on the epidemiology of neurodegenerative disorders, particularly Parkinson's disease and amyotrophic lateral sclerosis, examining genetic and environmental factors in disease development. She has also made significant contributions to research methodology, including developing an expanded screening questionnaire for restless legs syndrome. Dr. Popat's excellence in teaching has been consistently recognized through multiple awards, including the Kaiser Foundation Award for Excellence in Preclinical Teaching and numerous Teaching Awards from the Division of Epidemiology. Her current work includes teaching essential courses in clinical trials design, epidemiologic research methods, and data management, while mentoring numerous graduate and undergraduate students in their research endeavors

Critical Analysis of Randomized Clinical Trials

This course includes

1 Week

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.