In this course, you’ll learn more advanced operational skills that you and your team need to run a successful clinical trial. You’ll learn about the computation of sample size and how to develop a sample size calculation that’s suitable for your trial design and outcome measures. You’ll also learn to use statistical methods to monitor your trial for safety, integrity, and efficacy. Next, you’ll learn how to report the results from your clinical trials through both journal articles and data monitoring reports. Finally, we’ll discuss the role of the analyst throughout the trial process, plus a few additional topics such as simulations and adaptive designs.
Clinical Trials Analysis, Monitoring, and Presentation
This course is part of Clinical Trials Operations Specialization
Instructors: Janet Holbrook, PhD, MPH
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What you'll learn
Calculate clinical trial sample size
Monitor clinical trial performance
Analyze results from clinical trials
Communicate results from clinical trials
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There are 5 modules in this course
Sample size calculation in clinical trials refers to the process for determining how large a trial needs to be in order to have a reasonable expectation of detecting a difference between groups. The end result of the sample size calculation should be an estimate of the number of observations.
What's included
3 videos1 reading1 assignment
In this module, you’ll learn about trial monitoring, which involves statistical methods to assess a trial while it is underway. These methods are used to assess safety, integrity, efficacy, recruitment, data collection, and data quality.
What's included
4 videos1 assignment
Skilled communication of your clinical trial results is critical to ensuring that your efforts have the intended impact. In this module, you’ll learn the best practices for reporting results in both journal publications and in data monitoring reports.
What's included
4 videos1 assignment
Analysts play an important role throughout the trial, not just at the end. In this module, you’ll learn about the analyst’s role, including how the analyst contributes to the trial at every stage of the process.
What's included
5 videos1 assignment
In this module, you’ll learn about some advanced operational functions that should be in your trial team’s toolkit, including simulations, adaptive designs, and Bayesian statistics.
What's included
3 videos1 reading1 assignment
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Recommended if you're interested in Public Health
Johns Hopkins University
Johns Hopkins University
Johns Hopkins University
Johns Hopkins University
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