Hi,
I want to statistically compare the sensitivities of two methods of conducting a diagnostic test. The study design is paired (ie, method1 & method2 both tested on the same individual).
Currently, I estimate the sensitivity of each method with the binomial exact CI. I then test the difference between groups using McNemar's as follow:
mcc gives me the difference between groups. But is it possible to determine the 95%CI for the difference using the Newcombe paired proportion method in Stata? (https://pubmed.ncbi.nlm.nih.gov/9839354/) I also very much welcome any advice if you think this method is not correct.
Is it also useful to present the interrater agreement (kappa-statistic) between the 2 methods?
Or would the difference in proportion suffice?
Thank you for any help.
Best wishes,
Megan
I want to statistically compare the sensitivities of two methods of conducting a diagnostic test. The study design is paired (ie, method1 & method2 both tested on the same individual).
Currently, I estimate the sensitivity of each method with the binomial exact CI. I then test the difference between groups using McNemar's as follow:
Code:
ci proportions method1 ci proportions method2 mcc method1 method2
Is it also useful to present the interrater agreement (kappa-statistic) between the 2 methods?
Code:
kap method1 method2
Thank you for any help.
Best wishes,
Megan