Does anyone know of another version of the Mcnemar test that provides:
1. Odds Ratios
2. 95% Confidence intervals of the Odds Ratios
3. Sample probability
4. 95% Confidence intervals of the sample probability
Obviously the Odds Ratios and Sample probabilities are easy to calculate
from the contingency table, but I would appreciate any help on how to
calculate the confidence intervals.
Below is a simple example of the test, and the corresponding output with
the function mcnemar.test.
> xtabs(~PLC50.T1+PLC50.T2,data=LANCET.DAT)
PLC50.T2
PLC50.T1 0 1
0 464 22
1 6 1
> mcnemar.test(xtabs(~PLC50.T1+PLC50.T2,data=LANCET.DAT))
McNemar's Chi-squared test with continuity correction
data: xtabs(~PLC50.T1 + PLC50.T2, data = LANCET.DAT)
McNemar's chi-squared = 8.0357, df = 1, p-value = 0.004586
Paul
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