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Choice of analysis to test the effect of a treatment

Hello,

 

I have data measured on several animals, carried out at different level of the aorta (in pd). One group was treated (DT), the other received a placebo (PBS). I would like to measure the effect of the treatment taking into account the different measurement levels (distance from start (mm)). I have missing data (not the same number of levels analyzed). Which analysis should I run in JMP?

Thanks in advance, I'm stuck ...

AnalyticsRe: Choix analyse pour tester effet d'un traitement

Hi @Nicoletti29 ,

perhaps it is worth you try this approach:

https://community.jmp.com/t5/JMP-Add-Ins/Full-Factorial-Repeated-Measures-ANOVA-Add-In/ta-p/23904

it will run a mixed model where the mice are random effects. I am just not sure about the full factorial approach that would use the distance as random as well.

it should look something like this:

 

and

let us know if it helps.

Re: Choix analyse pour tester effet d'un traitement

First of all, thank you so much for taking time to reply to my request. I have tested the proposed solution and I think that the full factorial repeated mesure is a correct way to analyze these data. Given the small size of my groups, I was wondering whether you would advice to go for a nonparametric test, and which one would be adapted for the structure of my data?

 

Regards