Maybe someone can help me or at least give me some clues.
I have 1057 patients all with different types of prostheses. One of them seems to have a higher revision rate than the others.
total numbers: prosthesisA 662 prosthesisB 162 prosthesisC 151 other 82 revision rate: prosthesisA 9 1,36% prosthesisB 11 6,79% prosthesisC 3 1,99% other 4 4,88%
Could anyone tell me how I can show whether the revision rate of prothesisB (6,79%) is significantly higher or not compared to the other prostheses (incl. "other")?
Thank you & kind regards
Edit: Is it possible to compare only the prosthesisB with all others at once? I've created the following contingency table:
prostB other total Rev 11 16 27 noRev 162 868 1030 173 884 1057 Odds-Ratio = (11*868)/(16*162) = 3.68 p-Value (Fisher Test) = 0.001
Can I say now that the chances for a revision with prosthesisB are ~3.5 times higher compared to all others? Is this plausible since the p-Value of the Fisher's exact test is highly significant?