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AW: st: OT: how to report statistics in (medical) journals

From   "Kaulisch, Marc" <>
To   <>
Subject   AW: st: OT: how to report statistics in (medical) journals
Date   Thu, 18 Nov 2010 09:35:49 +0100

Carlo, Nick, Maarten, Paul and Scott,

Thanks for these very fruitful hints and advices. They found their way into presenting the results in the manuscripts ;-)


-----Ursprüngliche Nachricht-----
Von: [] Im Auftrag von Nick Cox
Gesendet: Mittwoch, 17. November 2010 15:56
An: ''
Betreff: RE: st: OT: how to report statistics in (medical) journals

I agree very much with the general attitude here. For once, I was just answering the question.  

On one detail: rank-based tests can often be thought of very fruitfully as based on estimating the probability that some A > some B and several of Roger Newson's commands have this strong flavour. 


Seed, Paul

- --- On Tue, 16/11/10, Kaulisch, Marc wrote:
> I was asked to provide some tests for analyses in an article for a 
> medical journal. <snip> Are there any guidelines for reporting 
> statistics?

Nick Cox & Maarten Buis both suggest Marc looks at the journal's practice & policy.  This is fine as far as it gues, but current practice is not always best practice.  (Altman DG (2002) Poor Quality Medical Research. What Can Journals Do? JAMA 287 2765-2767 ) 

There are a number of guidelines for reporting clinical studies (CONSORT - randomised comtrolled trials, STARD  - diagnostic tests, PRISMA - meta-analyses) and others.  
Marc should google these.
(Altman DG, Schulz KF, Moher D, Egger M, Davidoff F, Elbourne D, Getzsche PC & Lang T (2001). The revised CONSORT statement for reporting randomized trials: explanation and elaboration. Annals of Internal Medicine 134:663-694.)

These stress producing estimates with confidence intervals as well as (and in preference to) p-values.  Rank-based tests such as Wilcoxon & Kruskal-Wallis are unhelpful in that they give no such estimates.  If Marc has the time, he may investigate the possibility of parametric tests, posibly after log-transformation, or dropping outliers, so that he can report meaningful estimates with confidence intervals.

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