Timeline for Paired t-test when each data point was repeatedly measured different number of times?
Current License: CC BY-SA 3.0
7 events
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| Dec 12, 2014 at 8:15 | comment | added | psarka | hmm, you are right. I assumed that this becomes a standard situation with a known test, but it seemingly doesn't. On the other hand, your answer seems to cover it pretty well, so +1 in return :) | |
| Dec 11, 2014 at 20:12 | comment | added | amoeba | It does not sound so easy even if each subject has exactly 30 measurements pre- and exactly 30 post-treatment, and all measurements performed at the same time before breakfast. What test would you run then? +1, btw. | |
| Dec 11, 2014 at 17:45 | comment | added | psarka | Oh, did not answer your question: modal day is some sort of smoothing of the overlaid time series (plot all days in the same 24 hour graph and do something with it). | |
| Dec 11, 2014 at 17:38 | comment | added | psarka | I'm not at all a fan of "modal day" and I'm not sure if you can do anything with it rigorously. Maybe I should not have mentioned it at all, but this notion pops up a lot when you look at what people try to do with discrete measurements. You can try googling it for numerous examples. The before breakfast part depends on what data OP has. Unless it is something non-standard, it should have labels, due to special status of pre-meal measurements. Then you have 30 measurements before switch and 30 after, all measuring the same thing. Easy. | |
| Dec 11, 2014 at 17:08 | comment | added | amoeba | Sounds very reasonable, and seems to address well the biology of the question. But what is "modal day", and whatever it is -- how to "infer" it, and how to make statistical test between them? Also, say OP decides to follow your suggestion to compare corresponding measurements (e.g. "before breakfast"). How to do it? The same question about paired t-test with "repeated" measurements arises. | |
| Dec 11, 2014 at 16:52 | history | edited | psarka | CC BY-SA 3.0 |
added 218 characters in body
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| Dec 11, 2014 at 16:32 | history | answered | psarka | CC BY-SA 3.0 |