Timeline for Compare Paired Data from 2 Timeframes of Different Lengths
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Apr 26, 2022 at 17:22 | comment | added | John Conor | Thanks @Greg Snow. That's very helpful. In stats the classes I've taken so far I hadn't heard of, or thought of, t-tests as linear models. I appreciate you connecting the dots. Evidently I have a lot more to learn :) I'll take a look at the mixed effects poisson regression. | |
| Apr 26, 2022 at 17:13 | comment | added | Greg Snow | @JohnConor, a regular Poisson regression should be for independent values, but the mixed effects version accounts for the pairing with the random effects. A 2-sample t-test is a special case of linear regression, a paired t-test is a special case of a linear mixed effects model. The same relationship works with Poisson regression. Offsets are terms in a model that do not have an estimated coefficient (just added as is), in Poisson regressions these are used to account for different sizes of time frames for counts. | |
| Apr 26, 2022 at 16:32 | comment | added | John Conor | I have updated the question to better reflect @Greg Snow | |
| Apr 26, 2022 at 16:27 | comment | added | John Conor | I'm not trying to make any predictions from this particular dataset, just a hypothesis test to determine if there is any statistically significant difference pre and post intervention. My goal for the question is to determine how to best normalize the 2 data sets covering different lengths of time. | |
| Apr 26, 2022 at 16:24 | comment | added | John Conor | Thanks, although a poisson regression should be for independent variables. No? Also, could you elaborate what you mean when you refer to "offsets"? I'm correctly considering classes for fall semester so I will keep those in mind. | |
| Apr 26, 2022 at 16:01 | history | answered | Greg Snow | CC BY-SA 4.0 |