Dear Stats experts here...
I have a question:
I am counting cells in histology slides of certain timepoints after a treatment.
day 0, day 1, day 5, day 10, day 20, day 30, day 60, day 90
for each time points I have 3 histology slides of three independent individuals.
each individual has only one slide for one time point and not for another.
therefore I assume it is a non-repeated measurement.
my question: to find out if there is a significant difference between timepoint 0 versus any other timepoint, I may either use a 1-way anova or a non-parametric Kruskal Wallis test.
As there are only 3 subjects per time-point (very small sample size) - I am not sure, if I am allowed to use a 1-way-ANOVA with DUnnet-post hoc testing (to compare all time points vs. baseline timepoint of day 0) --- or if the small sample size forces me to use a non-parametric test, in this case a Kruskal Wallis test...
what do you suggest?
I have a question:
I am counting cells in histology slides of certain timepoints after a treatment.
day 0, day 1, day 5, day 10, day 20, day 30, day 60, day 90
for each time points I have 3 histology slides of three independent individuals.
each individual has only one slide for one time point and not for another.
therefore I assume it is a non-repeated measurement.
my question: to find out if there is a significant difference between timepoint 0 versus any other timepoint, I may either use a 1-way anova or a non-parametric Kruskal Wallis test.
As there are only 3 subjects per time-point (very small sample size) - I am not sure, if I am allowed to use a 1-way-ANOVA with DUnnet-post hoc testing (to compare all time points vs. baseline timepoint of day 0) --- or if the small sample size forces me to use a non-parametric test, in this case a Kruskal Wallis test...
what do you suggest?