Hi everyone!
In my experiments I measure different renal parameters (urea, creatinine, proteinuria, etc) in two groups (control and ischemic) in four different time points.
My aim is to assess whether the difference between each group is statistically significant or not. I would like to compare the time point 0 (baseline) to every other time point for each parameter.
My guess is that I should use a one way ANOVA, but I don´t know if my parameters follow a normal distribution or not and my sample size is not very large (n=6-8).
Does anyone know how I can know if my parameters have normal distribution? Is my guess right about the one way ANOVA?
The software that I´m using is GraphPad Prism.
Thank you very much in advance!
Are you also looking for an effect of time on your measurements? If I understand your experimental design correctly, you have two independent variables (ischemia and time), so a 2-way ANOVA seems more appropriate. In graphpad, you can set the ANOVA up to compare all timepoints to a control column (this option is under the "multiple comparisons" tab), which in this case would be the timepoint 0.
if you have 2 groups of animals and several variables measured in different time intervals, you need to run repeated measurement test for each. in spss general lenear model - repeated measures. nice explanation how to do and read and interprete the otcomes: https://www.youtube.com/watch?v=vhLS1yPax6M&t=121
katka