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Home truths 21/07/2011
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The other day I came across a very intriguing research paper, bearing a very provocative title: “Why Most Published Research Findings are False”. Published in 2005, this paper was written by John P.A. Ioannidis, a medical professor specializing in epidemiology. His claim is simple (I quote from the abstract of the paper):

The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance.

Now, as you might imagine, a scientific paper with such a subject matter would be sure to attract a lot of attention, both positive and negative, and that was indeed the case. But I do not intend to participate in the debate, and this is not the reason I am bringing up this paper here.

I am more interested in the concept of truth, especially in the way it is employed in papers such as Ioannidis’, i.e. in current scientific research.

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Searching for Evidence, part 2 24/08/2009
 
As I have tried to show in previous posts, psychoanalysts do not have a set of tools to apply. Contrary to what a clinician would do, psychoanalysts will not treat your symptom, let's say your eating disorder, in the same way that they will treat the eating disorder of the next person. Psychoanalysts do not work with disorders, they work with people, real people who have real histories.

We have reached a crucial point in our investigation. We have seen that Randomized Control Trials are not really suitable for testing the effectiveness of psychotherapy and psychoanalysis. We have also seen that when focusing on psychoanalysis our standard methodologies for collecting evidence do no justice to it. So, what do we do?

First we need to understand (and accept) that the approach of a psychoanalyst is fundamentally different to the approach of the clinician; it's not better or worse, it's different.

(In fact it's because of this difference that many feel inclined to argue that psychoanalysis is not a health profession for all intents and purposes of the Health Professions Council. But that's another story.)

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