Stata rookie - McNemar's chi2

[ha08255]

Hey,
I've just got to grips with the basics of Stata (for my dissertation). My tutor asked me to use the command 'mcc' to compare binary variables, which is fine - but I'm not sure how to interpret the results.
All I'm really after is a p value!
It offers a whole host of results;

McNemars chi2(1)=2.48
Prob>chi2=0.1151
Exact McNemar significance probability=0.1480

Proportion with factor
Cases .3298
Controls .3085_______________95% Conf Interval

difference .0213______________-.0069 _______ .0495
ratio 1.069__________________.9839_________1.161
rel difference .0308__________-.0069_________.0684

odds ratio 1.522 ______________.8741_________2.697________(exact)



Basically I have no idea what any of these numbers are telling me. Is any one of them the p value?! Sorry for such a basic question from someone with a very poor grasp of stats!

Thanks

[bukharin]

McNemars chi2(1)=2.48
Prob>chi2=0.1151
Exact McNemar significance probability=0.1480

The 0.1151 and 0.1480 are both p-values, calculated using different methods (that's statistics for you!) I would report the "exact" probability, p=0.15

[ha08255]

Thank you! Another quick question;

With the logistic regression analysis, is the P>|z| value the p value?!

[bukharin]

Yes - the p-value is the probability of observing a result of at least this magnitude under the null hypothesis. The null hypothesis is that z is zero, and in a two-tailed test you're worried about the absolute value of z (|z|) rather than its direction.

[Marvin85]

How do you perform McNemar's test in stata? Thanks!!