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返回到 临床试验的设计和解释

学生对 约翰霍普金斯大学 提供的 临床试验的设计和解释 的评价和反馈

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课程概述

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....

热门审阅

TS

Jul 3, 2018

High quality course ! covering important areas and detailed lectures, more and better than a mere introduction. Congrats ! My only regret : I'd have liked to hear more about NI and equivalence trials

CC

Jun 4, 2020

I would highly recommend this course as I found it well-structured and helpful. After studying all the materials, I gained a great amount of knowledge in designing and interpretating clinical trail.

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