Hi Everyone,
I was wondering if I could please have some advice on how to deal with data that have multiple observations for some of the subjects (but not all).
We are looking at list of 150 patients who are currently receiving therapy for various illnesses/indications. We are planning to stratify patients based on some characteristics (which would be then our 'patient groups') to see if there are differences in the "proportions of optimal therapies" amongst different patient groups.
E.g. To see if there is a significantly larger proportion of optimal therapy for patients with Indication A compared to Indication B.
However, some (but not all) patients are receiving multiple therapies as they have several illnesses that they are receiving treatment for at once. So looking at the proportion of appropriate therapies means we'd have some observations that are related because they have the same patient source.
Originally I had thought of using Fisher's Exact test to test out the difference amongst proportions of appropriate therapies in different patient groups. But now that I realise some of the observations are related, I dont believe this test is appropriate. I have seen some papers published with the same exact data and using the fishers exact test but I am not sure at this point.
If anyone could provide any advice on how to deal with these data I would very much appreciate it.
many many thanks in advance
Nena
I was wondering if I could please have some advice on how to deal with data that have multiple observations for some of the subjects (but not all).
We are looking at list of 150 patients who are currently receiving therapy for various illnesses/indications. We are planning to stratify patients based on some characteristics (which would be then our 'patient groups') to see if there are differences in the "proportions of optimal therapies" amongst different patient groups.
E.g. To see if there is a significantly larger proportion of optimal therapy for patients with Indication A compared to Indication B.
However, some (but not all) patients are receiving multiple therapies as they have several illnesses that they are receiving treatment for at once. So looking at the proportion of appropriate therapies means we'd have some observations that are related because they have the same patient source.
Originally I had thought of using Fisher's Exact test to test out the difference amongst proportions of appropriate therapies in different patient groups. But now that I realise some of the observations are related, I dont believe this test is appropriate. I have seen some papers published with the same exact data and using the fishers exact test but I am not sure at this point.
If anyone could provide any advice on how to deal with these data I would very much appreciate it.
many many thanks in advance
Nena