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Significance testing as perverse probabilistic reasoning
by
Westover, Kenneth D
, Westover, M Brandon
, Bianchi, Matt T
in
Analysis
/ Appendicitis
/ Biomedicine
/ Data Interpretation, Statistical
/ Debate
/ Decision-making
/ Education, Medical - standards
/ Heart attacks
/ Humans
/ Hypothesis testing
/ Logic
/ Medicine
/ Medicine & Public Health
/ Pain
/ Physicians
/ Practice
/ Probability
/ Reasoning
/ Science
/ Statistical hypothesis testing
/ Studies
/ Surveys and Questionnaires
/ Teaching hospitals
/ Womens health
2011
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Significance testing as perverse probabilistic reasoning
by
Westover, Kenneth D
, Westover, M Brandon
, Bianchi, Matt T
in
Analysis
/ Appendicitis
/ Biomedicine
/ Data Interpretation, Statistical
/ Debate
/ Decision-making
/ Education, Medical - standards
/ Heart attacks
/ Humans
/ Hypothesis testing
/ Logic
/ Medicine
/ Medicine & Public Health
/ Pain
/ Physicians
/ Practice
/ Probability
/ Reasoning
/ Science
/ Statistical hypothesis testing
/ Studies
/ Surveys and Questionnaires
/ Teaching hospitals
/ Womens health
2011
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Significance testing as perverse probabilistic reasoning
by
Westover, Kenneth D
, Westover, M Brandon
, Bianchi, Matt T
in
Analysis
/ Appendicitis
/ Biomedicine
/ Data Interpretation, Statistical
/ Debate
/ Decision-making
/ Education, Medical - standards
/ Heart attacks
/ Humans
/ Hypothesis testing
/ Logic
/ Medicine
/ Medicine & Public Health
/ Pain
/ Physicians
/ Practice
/ Probability
/ Reasoning
/ Science
/ Statistical hypothesis testing
/ Studies
/ Surveys and Questionnaires
/ Teaching hospitals
/ Womens health
2011
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Journal Article
Significance testing as perverse probabilistic reasoning
2011
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Overview
Truth claims in the medical literature rely heavily on statistical significance testing. Unfortunately, most physicians misunderstand the underlying probabilistic logic of significance tests and consequently often misinterpret their results. This near-universal misunderstanding is highlighted by means of a simple quiz which we administered to 246 physicians at two major academic hospitals, on which the proportion of incorrect responses exceeded 90%. A solid understanding of the fundamental concepts of probability theory is becoming essential to the rational interpretation of medical information. This essay provides a technically sound review of these concepts that is accessible to a medical audience. We also briefly review the debate in the cognitive sciences regarding physicians' aptitude for probabilistic inference.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
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