I have two dependent groups that could have a disease before and after a treatment. My sample size is 12214 subjects. Before the treatment, 7 of them had the disease and after the treatment 14 of them had the disease.
Percentages of total sample are very low although the number of patients with disease doubled. Does it make sense that McNemar gives me a significant p-value here? Why?
Here is my R code:
mat=matrix(c(12207, 7, 12200, 14),2) mcnemar.test(mat)
Is there any size test I can run after McNemar? Have I chosen the right test?