2006
DOI: 10.1159/000095961
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Pharmacology and Statistics: Recommendations to Strengthen a Productive Partnership

Abstract: Critical to the discovery, development and rational use of drugs and vaccines are the foundational principles and proper application of statistics. However, in too many cases, there has been misuse of statistics and/or overemphasis on statistical significance (p < 0.05), as though this criterion possessed truth-guaranteeing properties. To clarify confusion about the proper use of statistics in pharmacology, we summarize briefly the foundational principles of probability; the role of statistics in assessment of… Show more

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Cited by 11 publications
(4 citation statements)
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“…The vast majority of these epidemiologic/observation studies suffer from multiple methodological deficiencies and the results are often ambiguous, misleading, or actually quantitatively incorrect, as pointed out by ourselves, and many others (Spector and Vesell, 2000, 2006aCampbell and Campbell 2006). These methodological deficiencies include poor validation of food questionnaires, infrequent or no assessment of change in diet, inattention to the Hill criteria for proving causality, improper use of statistics in nonrandomized studies, futile attempts to focus on one variable, "data dredging" (also termed data mining, i.e., looking for correlations in large data sets without a predetermined hypothesis, a procedure that leads to many false positive correlations), and many other errors (Spector and Vesell, 2000;, 2006aCampbell and Campbell 2006). Two important examples of false positives studies include those that concluded that HRT and mega-vitamin E prevented ASCVD (Spector and Vesell, 2002).…”
Section: The Role Of Dietmentioning
confidence: 98%
“…The vast majority of these epidemiologic/observation studies suffer from multiple methodological deficiencies and the results are often ambiguous, misleading, or actually quantitatively incorrect, as pointed out by ourselves, and many others (Spector and Vesell, 2000, 2006aCampbell and Campbell 2006). These methodological deficiencies include poor validation of food questionnaires, infrequent or no assessment of change in diet, inattention to the Hill criteria for proving causality, improper use of statistics in nonrandomized studies, futile attempts to focus on one variable, "data dredging" (also termed data mining, i.e., looking for correlations in large data sets without a predetermined hypothesis, a procedure that leads to many false positive correlations), and many other errors (Spector and Vesell, 2000;, 2006aCampbell and Campbell 2006). Two important examples of false positives studies include those that concluded that HRT and mega-vitamin E prevented ASCVD (Spector and Vesell, 2002).…”
Section: The Role Of Dietmentioning
confidence: 98%
“…On the other hand, the utility of large doses of vitamin E in human brain diseases has been disappointing. In fact, there is actual increased morbidity/mortality in meta‐analyses of the large randomized vitamin E trials (Spector and Vesell 2002, 2006). We also know that giving humans massive does of vitamin E (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…p-value cannot tell readers the strength or size of an effect, change, or relationship. In the end, patients and physicians want to know the magnitude of the benefit, change or association, not the statistical significance of individual studies [23,28].…”
Section: Item 4: Were Tables and Figures Well Prepared?mentioning
confidence: 99%