Hi, I have a data set where I have a number of organs that fall into 5 treatment groups. These treatment groups can be organized based on increasing dose (0, 1, 2, 3, 4), with 0 being my vehicle or placebo control. I have about 10 organs per treatment group. I then have 6 different characteristics that have been measured in the organs. So for each ovary, I have a % occurrence of each characteristic.
What I'm trying to do, for a given characteristic, is test to see if there is a significant trend for increasing occurrence with increase dose. I've never done this sort of analysis before, so looking for some suggestions. I stumbled upon the Cochrane-Armitage Trend Test, which seems to be just what I'm looking for, except my result variable needs to be binary - ie, yes/no. Instead, my response variable for each characteristic is a percentage, somewhere from 0-100%.
I've compared each group to the placebo individually with an ANOVA, but was looking to add in this analysis as well. Any feedback would be greatly appreciated. Thanks!
What I'm trying to do, for a given characteristic, is test to see if there is a significant trend for increasing occurrence with increase dose. I've never done this sort of analysis before, so looking for some suggestions. I stumbled upon the Cochrane-Armitage Trend Test, which seems to be just what I'm looking for, except my result variable needs to be binary - ie, yes/no. Instead, my response variable for each characteristic is a percentage, somewhere from 0-100%.
I've compared each group to the placebo individually with an ANOVA, but was looking to add in this analysis as well. Any feedback would be greatly appreciated. Thanks!