Hello everyone,
I have been searching for solution for my problem but keeps running into more questions so decided to finally ask for a bit of help. I am working with a dataset in which I want to compare efficiency of two detection techniques. Detection using both techniques are expressed as binary outcomes (1=detection, 0=no detection) but carried out on the same observation so no independant. For this, if I understood correctly different posts I have read, I should use McNemar test. But here are some problem I'm not sure still allow me to perform it :
My question is comparing detection efficiency of both techniques, so what I am looking to test, I guess, is if there is a significant difference in distribution of detection. But I am not sure it is even possible anymore with my dataset... Can I still use McNemar test ? If not do you have any tips on what other test I could use ?
Hope I am clear enough, sorry if this case was answered somewhere else but I couldn't find it...
Thanks for any advice, Have a nice day !
I have been searching for solution for my problem but keeps running into more questions so decided to finally ask for a bit of help. I am working with a dataset in which I want to compare efficiency of two detection techniques. Detection using both techniques are expressed as binary outcomes (1=detection, 0=no detection) but carried out on the same observation so no independant. For this, if I understood correctly different posts I have read, I should use McNemar test. But here are some problem I'm not sure still allow me to perform it :
- Sample are different size (time on effort is different), basically one technique is carried out twice as often as the other which I read can lead to unequal variances.
- Response variable are dependant, as both techniques sometimes carried out on the same observation (being minutes of a time series here). This is the reason why I selected McNemar test
- Observation are not independant either because one observation is likely to influence the following one (time series)
Code:
Observation Effort_tech1 Effort_tech2 Detection1 Detection2
1 1 1 0 1 NA
2 2 0 0 NA NA
3 3 0 0 NA NA
4 4 0 1 NA 0
5 5 1 0 1 NA
6 6 1 0 0 NA
7 7 1 0 0 NA
8 8 1 1 1 1
9 9 0 0 NA NA
10 10 1 1 1 1
Hope I am clear enough, sorry if this case was answered somewhere else but I couldn't find it...
Thanks for any advice, Have a nice day !