Hi,
I would just run separate (t-test) comparisons for each pair of groups
- this is sensitive to any group differences and very easy to interpret.
Cheers.
On 2 Jun 2008, at 18:46, Longchuan Li wrote:
> Dear FSL experts
>
> I have a question regarding the statistics of multiple group
> analysis. Right now, I have three groups, group 1 has the patients
> with the most severe state of disease A (grp1), group 2 has the
> patients with less significant degree of disease A (grp2) and group
> 3 are unexposed controls (grp3). What is the best statistics if I
> want to see the differences among the three groups? i.e., if grp1
> and grp2 are significant different from grp3 and if there is
> difference between grp1 and grp2.
>
> I am using one-way ANOVA to find out if there is any difference
> among three groups and then use multiple comparison to pick out
> which group is different. But I was also suggested that two sample t
> tests between each group might be a better choice.
>
> Your help is greatly appreciated.
>
> Longchuan
>
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Stephen M. Smith, Professor of Biomedical Engineering
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