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help > RE: longitudinal 2 groups comparison
Nov 4, 2020 08:11 AM | Andrew Zalesky
RE: longitudinal 2 groups comparison
Hi Shania,
The numeric format of the data (i.e. long vs short) is not related to the longitudinal nature of an analysis. There is not relation between Long format and longitudinal analyses.
360 nodes should be feasible and not too time consuming, unless the sample size is particularly large.
If the number of subjects with missing data is small, you may want to exclude those subjects. Otherwise, a mixed effects model can be used to account for missing data, although this is not available in the current version of NBS.
You can run a 3x1 ANOVA and an F-test to assess for differences between the three time points. Check out the Help section for some examples. The FSL FEAT webpage provides some useful design matrix examples as well.
Good luck!
Andrew
Originally posted by Shania Soman:
The numeric format of the data (i.e. long vs short) is not related to the longitudinal nature of an analysis. There is not relation between Long format and longitudinal analyses.
360 nodes should be feasible and not too time consuming, unless the sample size is particularly large.
If the number of subjects with missing data is small, you may want to exclude those subjects. Otherwise, a mixed effects model can be used to account for missing data, although this is not available in the current version of NBS.
You can run a 3x1 ANOVA and an F-test to assess for differences between the three time points. Check out the Help section for some examples. The FSL FEAT webpage provides some useful design matrix examples as well.
Good luck!
Andrew
Originally posted by Shania Soman:
Hi Andrew,
I have a doubt regarding longitudinal analysis in NBS toolbox. The data I am working on is NICAP data, where I am looking at three time points. I have extracted three connectivity matrix (using MMP atlas (360 regions)) for each of the wave separately and we have missing data over time. I am trying to understand the significant connections across these nodes over time. I wanted to know whether I have to convert the data into Long format to compute longitudinal analysis. I was wondering considering repeated measures for each participant for 360 regions is time consuming.Is there any other way to compute this? Also, what can I do for missing data?
Thanks and Regards,
Shania
I have a doubt regarding longitudinal analysis in NBS toolbox. The data I am working on is NICAP data, where I am looking at three time points. I have extracted three connectivity matrix (using MMP atlas (360 regions)) for each of the wave separately and we have missing data over time. I am trying to understand the significant connections across these nodes over time. I wanted to know whether I have to convert the data into Long format to compute longitudinal analysis. I was wondering considering repeated measures for each participant for 360 regions is time consuming.Is there any other way to compute this? Also, what can I do for missing data?
Thanks and Regards,
Shania
Threaded View
| Title | Author | Date |
|---|---|---|
| Yawu Liu | Dec 13, 2016 | |
| Andrew Zalesky | Dec 13, 2016 | |
| Shania Soman | Nov 4, 2020 | |
| Andrew Zalesky | Nov 4, 2020 | |
| Shania Soman | Nov 22, 2020 | |
| Andrew Zalesky | Nov 24, 2020 | |
| Yawu Liu | Dec 14, 2016 | |