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There are 5 modules in this course
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.
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
Show info about module content
3 videos•Total 41 minutes
Definitions and Introduction•9 minutes
Sampling and Assumptions•22 minutes
Practicalities•10 minutes
1 reading•Total 3 minutes
Welcome to the course!•3 minutes
1 assignment•Total 8 minutes
Bias Control Randomization and Masking•8 minutes
Trial Monitoring
Module 2•1 hour to complete
Module details
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
Show info about module content
4 videos•Total 35 minutes
Goals and Responsibilities•5 minutes
Interim Analyses•13 minutes
Safety Versus Efficacy Data•6 minutes
Statistical Monitoring•10 minutes
1 assignment•Total 7 minutes
Trial Monitoring•7 minutes
Reporting Results From Randomized Clinical Trials (RCTs)
Module 3•2 hours to complete
Module details
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
Show info about module content
4 videos•Total 92 minutes
Journal Articles•22 minutes
Nuts and Bolts of Journal Articles•18 minutes
Tables and Figures•24 minutes
Data Monitoring Reports for RCTs•28 minutes
1 assignment•Total 9 minutes
Reporting Results from Randomized Clinical Trials•9 minutes
Analyzing Trials
Module 4•1 hour to complete
Module details
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
Show info about module content
5 videos•Total 35 minutes
Role of the Analyst•4 minutes
Statistical Analysis Plan•3 minutes
Analysis Population•7 minutes
Analysis Considerations•10 minutes
Types of Analyses•11 minutes
1 assignment•Total 7 minutes
Analyzing Trials •7 minutes
Advanced Topics
Module 5•1 hour to complete
Module details
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
Show info about module content
3 videos•Total 39 minutes
Simulations•12 minutes
Adaptive Designs•14 minutes
Bayesian Approaches•13 minutes
1 reading•Total 1 minute
Closing Thoughts•1 minute
1 assignment•Total 6 minutes
Advanced Topics•6 minutes
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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.