Lucibee
Senior Member (Voting Rights)
From my post waaaaay back here: https://www.s4me.info/threads/who-said-dont-bother-testing-patients.6532/page-5#post-119654
Found it: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2539651/
Oh oh oh oh oh - I see Martin Bland (Stats Prof) has found it too... https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1127546/
Editor---Although this paper by Pawlikowska et al is nearly six years old, I read it only two months ago.1 I am surprised that there seem to be no letters or articles referring to it to point out that the analysis is flawed.
ETA: I've now found my previous post about this: https://www.s4me.info/threads/who-said-dont-bother-testing-patients.6532/page-6#post-119882
And I'll just add that in Wessely's reply, he (correctly) points out that this flaw doesn't change the conclusions of their study. OK. But it does indicate that if they are so sloppy with their stats, how many other mistakes might they have made? They also ignore all the other points that Martin Bland made.
There are several more subtle statistical problems: the histograms with unequal interval sizes shown as the same length on the graph; the statement that with such large numbers the distributions of responses to the fatigue and the general health questionnaires follow a normal distribution (the shape of the distribution is not related to the sample size); the ignoring of the cluster sampling; the use of two different scoring systems for the questionnaires. But the quoting of impossible means should be enough to show that this paper is flawed. Why has nobody noticed, in refereeing, editing, reading the paper (several authors have cited it but seem to accept it uncritically)?
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