Timeline for Paired t-test when each data point was repeatedly measured different number of times?
Current License: CC BY-SA 3.0
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| Dec 11, 2014 at 16:32 | answer | added | psarka | timeline score: 1 | |
| Dec 11, 2014 at 11:37 | answer | added | amoeba | timeline score: 3 | |
| Dec 11, 2014 at 5:48 | answer | added | robin.datadrivers | timeline score: 0 | |
| Dec 11, 2014 at 0:37 | history | tweeted | twitter.com/#!/StackStats/status/542840660165156865 | ||
| Dec 10, 2014 at 22:16 | history | edited | amoeba | CC BY-SA 3.0 |
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| Dec 10, 2014 at 3:18 | answer | added | user2743 | timeline score: -1 | |
| Dec 10, 2014 at 2:58 | history | edited | Arctic | CC BY-SA 3.0 |
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| Dec 10, 2014 at 2:51 | history | edited | Arctic | CC BY-SA 3.0 |
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| Dec 10, 2014 at 2:50 | comment | added | Arctic | To add: the data set comes from an archival data source. | |
| Dec 10, 2014 at 2:45 | comment | added | Arctic | I have updated the original question. The data set comes from when participants tested their blood sugar values over a 30 day period before receiving an insulin pump and a 30 day period after receiving an insulin pump. This data was obtained from user logs and was not controlled to ensure that they were tested at fixed intervals. Participants tested themselves when they needed to test throughout the day. One participant can have hundreds of data points across 30 days. | |
| Dec 10, 2014 at 2:44 | history | edited | Arctic | CC BY-SA 3.0 |
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| Dec 10, 2014 at 1:18 | comment | added | Glen_b | If you have multiple observations (more than one before and one after) for at least some participants, that's not paired - it sounds like repeated measures. Are these fixed occasions/intervals before and after or some random set of occasions (whenever people happened to get measured)? Please edit your question to describe the situation explicitly. | |
| Dec 10, 2014 at 0:19 | comment | added | Arctic | Yes, I have data in the after group that does not have a corresponding data point in the before group. Would it be appropriate to crop/throw out extra data points? The data I am working with involves blood sugar levels. Some people tested their blood sugar levels much more often after receiving the experimental treatment in this case. I am also unsure what you mean by "identify both measurements for individuals that have two". For example one user might have 20 blood sugar tests before treatment but 40 blood sugar tests after treatment. | |
| Dec 9, 2014 at 23:36 | comment | added | Glen_b | Clearly if you have unequal numbers, not all points can be paired. Do you have data where there are some in each group (before/after) that are unpaired with an observation in the other? The situation needs to be made more explicit. Can you for certain identify both measurements for those individuals that have two? (I find the "find a mean for each participant" part worrisome because it seems to imply that the answer there might be "no") | |
| Dec 9, 2014 at 23:28 | history | asked | Arctic | CC BY-SA 3.0 |