First time poster here.

I am stuck trying to figure out the correct statistical test for my research question.
I am comparing two possible outcomes using the results from the same dataset.

Essentially, I ran a triplicate assay and want to see if there is a difference in outcomes when considering at least one positive well a positive diagnosis or considering at least 2 positive wells a positive diagnosis (i.e. assessing false negatives between methods).

Since they are the same samples, I made a contigency table and tried a McNemar test, but with the 0 in the discordant cell I wasn’t sure if it works (it is impossible for this cell to have a non-zero value due to the criteria).

If I try a McNemar exact test, the p value is very very small…and I am not even sure if it’s right or if this test is correct for my circumstances.

                Positive (2+ Wells)           Negative (2+ Wells)

Positive (1+ Well) 13 30
Negative (1+ Well) 0 343

mcnemar_test <- mcnemar.test(contingency_table1)

Any advice on which test to use would help. Thanks a million.