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URL: https://www.coursera.org/learn/clinical-trials-analysis-presentation-statistical-monitoring

⇱ Clinical Trials Analysis, Monitoring, and Presentation | Coursera


Clinical Trials Analysis, Monitoring, and Presentation

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Clinical Trials Analysis, Monitoring, and Presentation

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Gain insight into a topic and learn the fundamentals.
4.7

95 reviews

Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.7

95 reviews

Beginner level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Calculate clinical trial sample size

  • Monitor clinical trial performance

  • Analyze results from clinical trials

  • Communicate results from clinical trials

Details to know

Shareable certificate

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Assessments

5 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Clinical Trials Operations Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

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

3 videosTotal 41 minutes
  • Definitions and Introduction9 minutes
  • Sampling and Assumptions22 minutes
  • Practicalities10 minutes
1 readingTotal 3 minutes
  • Welcome to the course!3 minutes
1 assignmentTotal 8 minutes
  • Bias Control Randomization and Masking8 minutes

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

4 videosTotal 35 minutes
  • Goals and Responsibilities5 minutes
  • Interim Analyses13 minutes
  • Safety Versus Efficacy Data6 minutes
  • Statistical Monitoring10 minutes
1 assignmentTotal 7 minutes
  • Trial Monitoring7 minutes

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

4 videosTotal 92 minutes
  • Journal Articles22 minutes
  • Nuts and Bolts of Journal Articles18 minutes
  • Tables and Figures24 minutes
  • Data Monitoring Reports for RCTs28 minutes
1 assignmentTotal 9 minutes
  • Reporting Results from Randomized Clinical Trials9 minutes

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

5 videosTotal 35 minutes
  • Role of the Analyst4 minutes
  • Statistical Analysis Plan3 minutes
  • Analysis Population7 minutes
  • Analysis Considerations10 minutes
  • Types of Analyses11 minutes
1 assignmentTotal 7 minutes
  • Analyzing Trials 7 minutes

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

3 videosTotal 39 minutes
  • Simulations12 minutes
  • Adaptive Designs14 minutes
  • Bayesian Approaches13 minutes
1 readingTotal 1 minute
  • Closing Thoughts1 minute
1 assignmentTotal 6 minutes
  • Advanced Topics6 minutes

Earn a career certificate

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Instructors

Instructor ratings
4.5 (31 ratings)
Johns Hopkins University
4 Courses193,237 learners
Johns Hopkins University
2 Courses34,286 learners

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Showing 3 of 95

SM
·

Reviewed on Oct 4, 2025

Excellent introductory course for anyone entering this field.

KP
·

Reviewed on Aug 5, 2024

Awesome overview of the nuts and bolts of Clinical Trials for anyone looking to get started

JP
·

Reviewed on Apr 25, 2023

Excellent Instructors! I learned a lot! THank you very much!

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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.

Financial aid available,