Clinical trials are experiments designed to evaluate new interventions to prevent or treat disease in humans. The interventions evaluated can be drugs, devices (e.g., hearing aid), surgeries, behavioral interventions (e.g., smoking cessation program), community health programs (e.g. cancer screening programs) or health delivery systems (e.g., special care units for hospital admissions). We consider clinical trials experiments because the investigators rather than the patients or their doctors select the treatment the patients receive. Results from randomized clinical trials are usually considered the highest level of evidence for determining whether a treatment is effective because trials incorporates features to ensure that evaluation of the benefits and risks of treatments are objective and unbiased. The FDA requires that drugs or biologics (e.g., vaccines) are shown to be effective in clinical trials before they can be sold in the US.
The course will explain the basic principles for design of randomized clinical trials and how they should be reported. In the first part of the course, students will be introduced to terminology used in clinical trials and the several common designs used for clinical trials, such as parallel and cross-over designs. We will also explain some of the mechanics of clinical trials, like randomization and blinding of treatment. In the second half of the course, we will explain how clinical trials are analyzed and interpreted. Finally, we will review the essential ethical consideration involved in conducting experiments on people.
This week, we explore different types of trial designs, including parallel, crossover, group allocation, factorial, large simple, equivalency, non-inferiority, and adaptive designs.
Lecture 1A: Comparison Structure: Parallel, Crossover, and Group Allocation Designs•18 minutes
Lecture 1B: Extensions of the Parallel Design: Factorial and Large Simple Designs•11 minutes
Lecture 1C: Testing for Hypotheses Other than Superiority: Equivalency and Non-Inferiority Designs•12 minutes
Lecture 1D: Adaptive Design•12 minutes
3 readings•Total 30 minutes
Welcome Message•10 minutes
Syllabus•10 minutes
Pre-Course Survey•10 minutes
1 assignment•Total 10 minutes
Quiz 1•10 minutes
2 discussion prompts•Total 20 minutes
Examples of clinical trials that you know about•10 minutes
Why did they choose that design?•10 minutes
Randomization and Masking
Module 2•2 hours to complete
Module details
This week we discuss two key design features of randomized clinical trials used to protect against bias, randomization and masking.
What's included
3 videos1 reading1 assignment3 discussion prompts
Show info about module content
3 videos•Total 67 minutes
Lecture 2A: Rationale for Randomization•16 minutes
Lecture 2B: Types of Schemes•32 minutes
Lecture 3: Masking•18 minutes
1 reading•Total 10 minutes
Welcome to Week 2•10 minutes
1 assignment•Total 10 minutes
Quiz 2•10 minutes
3 discussion prompts•Total 30 minutes
Why is flipping a coin a bad randomization scheme?•10 minutes
Analyze a treatment assignment list•10 minutes
Simple, Restrictive, or Adaptive•10 minutes
Outcomes and Analysis
Module 3•2 hours to complete
Module details
This week focuses on a key design issue - selecting the primary outcome. We will also cover the gold standard for analysis of clinical trials, which is including all the participants in the analysis regardless of their actual treatment.
What are the advantages of using a placebo versus an active control?•10 minutes
Access to experimental treatments - in the news•10 minutes
Reporting Results
Module 5•2 hours to complete
Module details
This week, we focus on reporting results of clinical trials in publications. We cover the Consolidated Standards of Reporting Trials (CONSORT) guidelines.
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VA
5·
Reviewed on Nov 25, 2020
a very good introduction to clinical trials, it would be great if there is a second part of this course covering more topics in trial design and also the statistics in clinical trials.
O
OS
5·
Reviewed on Sep 18, 2019
This course would be most useful to the participant if pursued within a short time-frame, of maximum of 6 weeks. Both lecturers were clear and good communicators. I would take more of their classes.
V
VV
5·
Reviewed on May 26, 2020
Simplified every aspect as much as possible .Take home message without technical jargon is the icing on the cake.Thank you so much. I would love to attend other courses from your university.
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