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help > RE: longitudinal analysis.
Jul 24, 2020 11:07 PM | Andrew Zalesky
RE: longitudinal analysis.
Hi Xuehu,
this looks ok. It seems that the language score changes between the first and second visit for each subject. Therefore, there is not need to remove this column for language score. (I thought that the language score was the same for both time points. Disregard my previous advice about removing this column.)
[0 0 0 0 1 0] and [0 0 0 0 -1 0] is the main effect of language on connectivity
[0 0 0 0 0 1] and [0 0 0 0 0 -1] is the interaction between language and time on connectivity.
The exchange block is ok.
You may want to demean the language score.
Andrew
Originally posted by Xuehu Wei:
this looks ok. It seems that the language score changes between the first and second visit for each subject. Therefore, there is not need to remove this column for language score. (I thought that the language score was the same for both time points. Disregard my previous advice about removing this column.)
[0 0 0 0 1 0] and [0 0 0 0 -1 0] is the main effect of language on connectivity
[0 0 0 0 0 1] and [0 0 0 0 0 -1] is the interaction between language and time on connectivity.
The exchange block is ok.
You may want to demean the language score.
Andrew
Originally posted by Xuehu Wei:
Dear Andrew,
Thank you very much, the follow is the simply design:
1 0 0 0 25 0
0 1 0 0 21 0
0 0 1 0 33 0
1 0 0 1 90 90
0 1 0 1 83 83
0 0 1 1 96 96
the first 3 columns for each subject , the 4th column for timepoint, 5th column for language score,
6th column for interaction between language score and time.
if I want to study the correlation between the connectivity change and score change,
the contrast : [0 0 0 0 0 1]
and if I want to study the correlation between the connectivity and the language score,
the contrast :[0 0 0 0 1 0]
all this with ttest th=3.
exchange block [ 1 2 3 1 2 3] .
Is this design accurate? because I really confuse on to remove score' column, if I want to study the interaction, remove score' column, and just keep last column how it calculate the change of language score.
Best
Xuehu
Thank you very much, the follow is the simply design:
1 0 0 0 25 0
0 1 0 0 21 0
0 0 1 0 33 0
1 0 0 1 90 90
0 1 0 1 83 83
0 0 1 1 96 96
the first 3 columns for each subject , the 4th column for timepoint, 5th column for language score,
6th column for interaction between language score and time.
if I want to study the correlation between the connectivity change and score change,
the contrast : [0 0 0 0 0 1]
and if I want to study the correlation between the connectivity and the language score,
the contrast :[0 0 0 0 1 0]
all this with ttest th=3.
exchange block [ 1 2 3 1 2 3] .
Is this design accurate? because I really confuse on to remove score' column, if I want to study the interaction, remove score' column, and just keep last column how it calculate the change of language score.
Best
Xuehu
Threaded View
| Title | Author | Date |
|---|---|---|
| Xuehu Wei | Jul 23, 2020 | |
| Andrew Zalesky | Jul 24, 2020 | |
| Xuehu Wei | Jul 24, 2020 | |
| Andrew Zalesky | Jul 24, 2020 | |
| Xuehu Wei | Jul 24, 2020 | |