Abstract
A counterview of 'An investigation of the false discovery rate and the misinterpretation of p-values' by Colquhoun (2014).
Highlights
In commenting on the instructive, comprehensive and entertainingly written article by Prof
We find the numeric value of 0.1 for the parameter describing ‘the probability that the putative effect is real’ to be wholly unrealistic for divining the appropriate p-value to be used as the basis for deciding whether the outcome of an experiment provides evidence ‘for’ or ‘against’ rejection of the null hypothesis
We readily admit that we have no more idea than does the author regarding the true value of the ‘prevalence’ parameter for experimental science, so we have adopted three distinct approaches to estimate it. (i) First, and with reference to the author’s charmingly apposite introductory quote from George Elliot’s Middlemarch, we state our ‘gut instinct’ estimate to be ‘greater than 50%’. (ii) Second, and widening the scope, we have canvassed the senior investigators in our Department of Physiology for their personal estimates of the fraction of times that their explicit, experimentally testable hypotheses have proven to be supported by experimental results
Summary
In commenting on the instructive, comprehensive and entertainingly written article by Prof. We readily admit that we have no more idea than does the author regarding the true value of the ‘prevalence’ parameter for experimental science, so we have adopted three distinct approaches to estimate it.
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