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Blinding as a Solution to Bias - Strengthening Biomedical Science, Forensic Science, and Law (Hardcover)
Loot Price: R3,076
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Blinding as a Solution to Bias - Strengthening Biomedical Science, Forensic Science, and Law (Hardcover)
Expected to ship within 12 - 19 working days
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What information should jurors have during court proceedings to
render a just decision? Should politicians know who is donating
money to their campaigns? Will scientists draw biased conclusions
about drug efficacy when they know more about the patient or study
population? The potential for bias in decision-making by
physicians, lawyers, politicians, and scientists has been
recognized for hundreds of years and drawn attention from media and
scholars seeking to understand the role that conflicts of interests
and other psychological processes play. However, commonly proposed
solutions to biased decision-making, such as transparency
(disclosing conflicts) or exclusion (avoiding conflicts) do not
directly solve the underlying problem of bias and may have
unintended consequences. Robertson and Kesselheim bring together a
renowned group of interdisciplinary scholars to consider another
way to reduce the risk of biased decision-making: blinding. What
are the advantages and limitations of blinding? How can we quantify
the biases in unblinded research? Can we develop new ways to blind
decision-makers? What are the ethical problems with withholding
information from decision-makers in the course of blinding? How can
blinding be adapted to legal and scientific procedures and in
institutions not previously open to this approach? Fundamentally,
these sorts of questions-about who needs to know what-open new
doors of inquiry for the design of scientific research studies,
regulatory institutions, and courts. The volume surveys the theory,
practice, and future of blinding, drawing upon leading authors with
a diverse range of methodologies and areas of expertise, including
forensic sciences, medicine, law, philosophy, economics,
psychology, sociology, and statistics.
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