The Randomization Process
Lawrence M. Friedman,
Curt D. Furberg,
David L. DeMets,
David M. Reboussin and
Christopher B. Granger
Additional contact information
Curt D. Furberg: Wake Forest School of Medicine, Division of Public Health Sciences
David L. DeMets: University of Wisconsin, Department Biostatistics and Medical Informatics
David M. Reboussin: Wake Forest School of Medicine, Department of Biostatistics
Christopher B. Granger: Duke University, Department of Medicine
Chapter Chapter 6 in Fundamentals of Clinical Trials, 2015, pp 123-145 from Springer
Abstract:
Abstract The randomized controlled clinical trial is the standard by which all trials are judged. In the simplest case, randomization is a process by which each participant has the same chance of being assigned to either intervention or control. An example would be the toss of a coin, in which heads indicates intervention group and tails indicates control group. Even in the more complex randomization strategies, the element of chance underlies the allocation process. Of course, neither trial participant nor investigator should know what the assignment will be before the participant’s decision to enter the study. Otherwise, the benefits of randomization can be lost. The role that randomization plays in clinical trials has been discussed in Chap. 5 as well as by numerous authors [1–12]. While not all accept that randomization is essential [10, 11], most agree it is the best method for achieving comparability between study groups, and the most appropriate basis for statistical inference [1, 3].
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-18539-2_6
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DOI: 10.1007/978-3-319-18539-2_6
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