BMJ  2005;330:1390-1391 (11 June), doi:10.1136/bmj.330.7504.1390-c

Letter

Why clinicians are natural bayesians

Clinicians have to be bayesians

The first 150 words of the full text of this article appear below.

EDITOR—Clinicians are natural bayesians when it comes to diagnosis.1 They have to be. The alternative approach might be to use the methods of classical hypothesis testing, but probably only once.

The Neyman-Pearson diagnosis of coeliac disease

(Assume that the sensitivity and specificity of transglutaminase IgA are both 95%.)

Parent: Well doctor, have you got the result of the test yet?

Doctor: Yes I have. When you brought little Johnny in with weight loss, short stature, and diarrhoea I thought it was worth checking for coeliac disease, and the test has come back positive.

Parent: Does that mean he has coeliac disease?

Doctor: I can't be certain, but it is likely.

Parent: Well, how likely?

Doctor: I can't actually tell you that, but given that he does not have coeliac disease, there was a 95% probability that the test would have been negative, and it in fact was positive.

. . . [Full text of this article]

Robert McCrossin, consultant paediatrician

Department of Paediatrics, Hervey Bay Hospital, QLD 4655, Australia Robert_McCrossin@health.qld.gov.au


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Relevant Article

Why clinicians are natural bayesians
Christopher J Gill, Lora Sabin, and Christopher H Schmid
BMJ 2005 330: 1080-1083. [Extract] [Full Text] [PDF]

Rapid Responses:

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Formulaic errata
Christopher J Gill, et al.
bmj.com, 13 Jun 2005 [Full text]



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