The impact of randomization on the evidence of a clinical trial

Published on September 30, 2024   34 min

A selection of talks on Pharmaceutical Sciences

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0:00
Hello, everyone, and welcome to this Henry Stewart Talk on the impact of randomization on the evidence of a clinical trial. My name is Nicole Heussen. I'm a biostatistician and professor of evidence-based medicine at Sigmund Freud University in Vienna, Austria. I'm also affiliated to the Institute of Medical Statistics at the RWTH Aachen University in Germany.
0:31
After this talk, you'll understand the link between randomization, bias, and the test decision in the context of a clinical trial. Furthermore, you will be able to select the appropriate randomization procedure on a scientific basis, guided by a structured framework.
0:54
Let me start with an outline of my talk. I will start with a short motivation, including an illustrative presentation of some randomization procedures that represent specific classes. On the basis of these procedures, I will then present a template which will guide us towards a scientifically sound selection of a randomization procedure. Finally, I will show, by means of a case study, how to use the template.
1:32
Randomized controlled trials are considered the gold standard in clinical research. Randomization describes the random allocation of patients, or study participants, to treatment groups. One question that keeps coming up is, why should we randomly assign patients to treatments? What is the main motivation? Let's take a look at the ICH E9 Guideline, Statistical Principles for Clinical Trials. Here, it is stated that randomization and blinding are essential elements of clinical trials that are used to avoid bias. Since bias can affect the evidence of study results, consideration of the influence of bias is essential. The practical implementation of randomization consists of two steps. Firstly, the generation of an unpredictable randomization list, which results in the allocation sequence. Secondly, the concealment of this list until the final allocation, which is called allocation concealment. There are various methods available for generating a randomization list, some of which I would like to present to you and discuss their properties.

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