Hello all, I'm running an univariate logistic model. With the following syntax I'm getting that the risk of event if 70% lower in patients who smoke. However, when I switch the reference category for smoker variable, I get almost the same odds: 0.313 (0.207 - 0.471) vs 0.336 (0.233 - 0.486) I have explored the data and performed a chi-square test, and I did not find any differences between the categories (which makes sense). This is the contingency table: Table of SMOKER by EVENTSMOKER EVENT0 1 TotalNoYesTotal 113 40.79 74.83 54.07 38 13.72 25.17 55.88 151 54.51 96 34.66 76.19 45.93 30 10.83 23.81 44.12 126 45.49 209 75.45 68 24.55 277 100.00 Does anybody know why this happens? Why does the logistic model fail? Thank you in advance.
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