We measured the thickness of 6 parts of the intestinal wall in a group of 6 animals. The number of measurements in each part differs from the others (Ex. 25 measurements in 1st part, 40 measurements in 2nd part,...). We need to compare the mean thickness of each part with the others to find any probable significant differences, but because of differences in numbers, we don't know which statistical test is suitable for this purpose.
Any suggestions please?
It seems you have repeated measures
Check the answer to a similar question here from
Edgar Brunner
Noguchi, K., Gel, Y., Brunner, E. , Konietschke, F. (2012). nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments. Journal of Statistical Software 50, Iss. 12.
The theory is described in:
Brunner, E. and Puri, M.L. (2001). Nonparametric Methods in Factorial Designs. Statistical Papers 42, 1-52.
If you send me an e-mail then I can send you the papers.
e-mail: [email protected]
Maybe I didn't understand. It seems to me you could calculate 6 means per animal, and then consider these means to be repeated measures for thickness. To test for the differences in thickness, you could then use a Friedman test if the data are non-normally distributed, or a one-way repeated measures anova if the distributions of the 6 means are normal. Check the 6 distributions of mean thickness with the Shapiro test and inspect these with histograms.
Ofelia Andrea Valdés Rodríguez
Matthew Kerry
Jos Feys
Thank you so much for your time and your kind assistance!
I also got a similar answer to Jos Feys answer from a friend, and I am going to use this method.
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