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Randomization, Masking, and Allocation Concealment is indispensable
for any trial researcher who wants to use state of the art
randomization methods, and also wants to be able to describe these
methods correctly. Far too often the subtle nuances that
distinguish proper randomization from flawed randomization are
completely ignored in trial reports that state only that
randomization was used, with no additional information. Experience
has shown that in many cases, the type of randomization that was
used was flawed. It is only a matter of time before medical
journals and regulatory agencies come to realize that we can no
longer rely on (or publish) flawed trials, and that flawed
randomization in and of itself disqualifies a trial from being
robust or high quality, even if that trial is of high quality
otherwise. This book will help to clarify the role randomization
plays in ensuring internal validity, and in drawing valid
inferences from the data. The various chapters cover a variety of
randomization methods, and are not limited to the most common (and
most flawed) ones. Readers will come away with a profound
understanding of what constitutes a valid randomization procedure,
so that they can distinguish the valid from the flawed among not
only existing methods but also methods yet to be developed.
Randomization, Masking, and Allocation Concealment is indispensable
for any trial researcher who wants to use state of the art
randomization methods, and also wants to be able to describe these
methods correctly. Far too often the subtle nuances that
distinguish proper randomization from flawed randomization are
completely ignored in trial reports that state only that
randomization was used, with no additional information. Experience
has shown that in many cases, the type of randomization that was
used was flawed. It is only a matter of time before medical
journals and regulatory agencies come to realize that we can no
longer rely on (or publish) flawed trials, and that flawed
randomization in and of itself disqualifies a trial from being
robust or high quality, even if that trial is of high quality
otherwise. This book will help to clarify the role randomization
plays in ensuring internal validity, and in drawing valid
inferences from the data. The various chapters cover a variety of
randomization methods, and are not limited to the most common (and
most flawed) ones. Readers will come away with a profound
understanding of what constitutes a valid randomization procedure,
so that they can distinguish the valid from the flawed among not
only existing methods but also methods yet to be developed.
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