External Email - Use Caution
Dear FreeSurfer experts,
I am doing a repeated measures ANOVA 2x2 (2 groups and 2 time points) and I would like to include in the analysis a covariate that is constant over the 2 times (e.g., baseline medication). I would like to see a "group x time x covariate" interaction.
What should the design look like? I know that without covariate the design is as follows:
GroupDescriptorFile 1
Class Subject1
Class Subject2
Variables Tp1vsTp2.Group1 Tp1vsTp2.Grroup2
Input Subject1_time1 Subject1 1 0
Input Subject1_time2 Subject1 -1 0
Input Subject2_time1 Subject2 0 1
Input Subject2_time2 Subject02 0 -1
Design matrix:
1 0 1 0
1 0 -1 0
0 1 0 1
0 1 0 -1
Contrasts (.mtx files): Tp1vsTp2.Group1 0 0 1 0 Tp1vsTp2.Group2 0 0 0 -1 Interaction (timexgroup) 0 0 1 -1
However, I do not know how I could include the interaction with that covariate.
Thank you very much in advance.
Kind regards,
Agurne
Probably the easiest thing to do since you have only two time points is to compute the difference between the two, then just do a simple group analysis where you include the covariates that you want.
On 3/23/2022 10:00 AM, Agurne Sampedro Calvete wrote:
External Email - Use Caution
Dear FreeSurfer experts,
I am doing a repeated measures ANOVA 2x2 (2 groups and 2 time points) and I would like to include in the analysis a covariate that is constant over the 2 times (e.g., baseline medication). I would like to see a "group x time x covariate" interaction.
What should the design look like? I know that without covariate the design is as follows:
GroupDescriptorFile 1
Class Subject1
Class Subject2
Variables Tp1vsTp2.Group1 Tp1vsTp2.Grroup2
Input Subject1_time1 Subject1 1 0
Input Subject1_time2 Subject1 -1 0
Input Subject2_time1 Subject2 0 1
Input Subject2_time2 Subject02 0 -1
Design matrix:
1 0 1 0
1 0 -1 0
0 1 0 1
0 1 0 -1
Contrasts (.mtx files): Tp1vsTp2.Group1 0 0 1 0 Tp1vsTp2.Group2 0 0 0 -1 Interaction (timexgroup) 0 0 1 -1
However, I do not know how I could include the interaction with that covariate.
Thank you very much in advance.
Kind regards,
Agurne
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
External Email - Use Caution
Dear Douglas,
Do you mean calculate a type of change score (e.g. time2 minus time1) and then compare the differences between the two groups? How can I calculate the difference between the two time points? Thank you very much.
Best regards,
Agurne
El dom, 27 mar 2022 a las 23:07, Douglas N. Greve (dgreve@mgh.harvard.edu) escribió:
Probably the easiest thing to do since you have only two time points is to compute the difference between the two, then just do a simple group analysis where you include the covariates that you want.
On 3/23/2022 10:00 AM, Agurne Sampedro Calvete wrote:
External Email - Use CautionDear FreeSurfer experts,
I am doing a repeated measures ANOVA 2x2 (2 groups and 2 time points) and I would like to include in the analysis a covariate that is constant over the 2 times (e.g., baseline medication). I would like to see a "group x time x covariate" interaction.
What should the design look like? I know that without covariate the design is as follows:
GroupDescriptorFile 1
Class Subject1
Class Subject2
Variables Tp1vsTp2.Group1 Tp1vsTp2.Grroup2
Input Subject1_time1 Subject1 1 0
Input Subject1_time2 Subject1 -1 0
Input Subject2_time1 Subject2 0 1
Input Subject2_time2 Subject02 0 -1
Design matrix:
1 0 1 0
1 0 -1 0
0 1 0 1
0 1 0 -1
Contrasts (.mtx files): Tp1vsTp2.Group1 0 0 1 0 Tp1vsTp2.Group2 0 0 0 -1 Interaction (timexgroup) 0 0 1 -1
However, I do not know how I could include the interaction with that covariate.
Thank you very much in advance.
Kind regards,
Agurne
Freesurfer mailing listFreesurfer@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://secure-web.cisco.com/1IuqXuXyJX5KD8JRY0t7329bqQKarO63jDbBFnaSqMtBNof... The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://secure-web.cisco.com/1x9B7YpCjD7VW1WOl4gdYgjWJaMAl6ZcCMJGhmN5gUtZ0YX... < https://secure-web.cisco.com/1x9B7YpCjD7VW1WOl4gdYgjWJaMAl6ZcCMJGhmN5gUtZ0YX... . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.
External Email - Use Caution
Dear Douglas,
Do you mean doing a paired analysis ( https://secure-web.cisco.com/1--BRKGsmqZ1L0g96_9NSyRbYR4I8YBmT3G8PQ1YzWvyN-a...
Thank you very much
Kind regards,
Agurne
El lun, 28 mar 2022 a las 9:18, Agurne Sampedro Calvete (< a.sampedro@deusto.es>) escribió:
Dear Douglas,
Do you mean calculate a type of change score (e.g. time2 minus time1) and then compare the differences between the two groups? How can I calculate the difference between the two time points? Thank you very much.
Best regards,
Agurne
El dom, 27 mar 2022 a las 23:07, Douglas N. Greve (dgreve@mgh.harvard.edu) escribió:
Probably the easiest thing to do since you have only two time points is to compute the difference between the two, then just do a simple group analysis where you include the covariates that you want.
On 3/23/2022 10:00 AM, Agurne Sampedro Calvete wrote:
External Email - Use CautionDear FreeSurfer experts,
I am doing a repeated measures ANOVA 2x2 (2 groups and 2 time points) and I would like to include in the analysis a covariate that is constant over the 2 times (e.g., baseline medication). I would like to see a "group x time x covariate" interaction.
What should the design look like? I know that without covariate the design is as follows:
GroupDescriptorFile 1
Class Subject1
Class Subject2
Variables Tp1vsTp2.Group1 Tp1vsTp2.Grroup2
Input Subject1_time1 Subject1 1 0
Input Subject1_time2 Subject1 -1 0
Input Subject2_time1 Subject2 0 1
Input Subject2_time2 Subject02 0 -1
Design matrix:
1 0 1 0
1 0 -1 0
0 1 0 1
0 1 0 -1
Contrasts (.mtx files): Tp1vsTp2.Group1 0 0 1 0 Tp1vsTp2.Group2 0 0 0 -1 Interaction (timexgroup) 0 0 1 -1
However, I do not know how I could include the interaction with that covariate.
Thank you very much in advance.
Kind regards,
Agurne
Freesurfer mailing listFreesurfer@nmr.mgh.harvard.eduhttps://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://secure-web.cisco.com/1-gUySJuqa8Gtjb2ayontxMvMOFNcVba7gDctitbT9sWY0x... The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://secure-web.cisco.com/1dbmYzQgvpzY0AR3FDMNrwZQLTTHhQ0T07NKw5oJYpuZhRe... < https://secure-web.cisco.com/1dbmYzQgvpzY0AR3FDMNrwZQLTTHhQ0T07NKw5oJYpuZhRe... . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.
See https://surfer.nmr.mgh.harvard.edu/fswiki/PairedAnalysis
On 3/28/2022 3:18 AM, Agurne Sampedro Calvete wrote:
External Email - Use Caution
Dear Douglas,
Do you mean calculate a type of change score (e.g. time2 minus time1) and then compare the differences between the two groups? How can I calculate the difference between the two time points? Thank you very much.
Best regards,
Agurne
El dom, 27 mar 2022 a las 23:07, Douglas N. Greve (dgreve@mgh.harvard.edu) escribió:
Probably the easiest thing to do since you have only two time points is to compute the difference between the two, then just do a simple group analysis where you include the covariates that you want. On 3/23/2022 10:00 AM, Agurne Sampedro Calvete wrote:External Email - Use Caution Dear FreeSurfer experts, I am doing a repeated measures ANOVA 2x2 (2 groups and 2 time points) and I would like to include in the analysis a covariate that is constant over the 2 times (e.g., baseline medication). I would like to see a "group x time x covariate" interaction. What should the design look like? I know that without covariate the design is as follows:GroupDescriptorFile 1 Class Subject1 Class Subject2 Variables Tp1vsTp2.Group1 Tp1vsTp2.Grroup2 Input Subject1_time1 Subject1 1 0 Input Subject1_time2 Subject1 -1 0 Input Subject2_time1 Subject2 0 1 Input Subject2_time2 Subject02 0 -1 Design matrix: 1 0 1 0 1 0 -1 0 0 1 0 1 0 1 0 -1 Contrasts (.mtx files): Tp1vsTp2.Group1 0 0 1 0 Tp1vsTp2.Group2 0 0 0 -1 Interaction (timexgroup) 0 0 1 -1However, I do not know how I could include the interaction with that covariate. Thank you very much in advance. Kind regards, Agurne _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu *MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be* https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <https://secure-web.cisco.com/1IuqXuXyJX5KD8JRY0t7329bqQKarO63jDbBFnaSqMtBNof0r4rJhamzR-1IFC7L5NF9QypcA0qEPLfHMAmIWZbY1k8L4vMUR2MX0VjfRsmyr4s5EJ_TT5ylipKF30Ro4H9Vgi-4F7Az2PUIeaX_C6lkIllxCGn4xH-FKcg8XGGTGhRNvVe2W_xHtet8hsbkegWqc2bynGCsRCmANRBiMOUlHLNhwYz77WVlgOic_d_uiVBtBGYTWppr8yOmjGxA0G0SVESVmxkIrOYLs1PQxdHRxXPjb6FrtimwGaF23cx8Go4F7YaCxeuMWNdB8NT-U/https%3A%2F%2Fmail.nmr.mgh.harvard.edu%2Fmailman%2Flistinfo%2Ffreesurfer>_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu *MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be* https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <https://secure-web.cisco.com/1IuqXuXyJX5KD8JRY0t7329bqQKarO63jDbBFnaSqMtBNof0r4rJhamzR-1IFC7L5NF9QypcA0qEPLfHMAmIWZbY1k8L4vMUR2MX0VjfRsmyr4s5EJ_TT5ylipKF30Ro4H9Vgi-4F7Az2PUIeaX_C6lkIllxCGn4xH-FKcg8XGGTGhRNvVe2W_xHtet8hsbkegWqc2bynGCsRCmANRBiMOUlHLNhwYz77WVlgOic_d_uiVBtBGYTWppr8yOmjGxA0G0SVESVmxkIrOYLs1PQxdHRxXPjb6FrtimwGaF23cx8Go4F7YaCxeuMWNdB8NT-U/https%3A%2F%2Fmail.nmr.mgh.harvard.edu%2Fmailman%2Flistinfo%2Ffreesurfer> The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at *MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be* https://www.massgeneralbrigham.org/complianceline <https://secure-web.cisco.com/1x9B7YpCjD7VW1WOl4gdYgjWJaMAl6ZcCMJGhmN5gUtZ0YXG8Enkx51L_R3G0cJ693F_fG5lCRkt4sxeDiV13uqWwSBBh_dyzortnZiOS9drMMD_P-Au8qnLxyoMxq9TJmuajNMhlryO_xv-wNYC3iu1BLBD_kEsGxWrGA6-N6mF7A1nSHgnXIJgR2v-cmbpxUGY4MuhbsMa5U7WRmtPxHAdsunuA3KeCPkQmFjsE_jrbOB8wtLJtpozQAH_7EkqvXtPEwEQEBzflVC67XgqyMHWtSJPj3uY5ZyoKkIqjzXAhaXAKRtC7hi6nJ5Jq2vbw/https%3A%2F%2Fwww.massgeneralbrigham.org%2Fcomplianceline> <*MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be* https://www.massgeneralbrigham.org/complianceline <https://secure-web.cisco.com/1x9B7YpCjD7VW1WOl4gdYgjWJaMAl6ZcCMJGhmN5gUtZ0YXG8Enkx51L_R3G0cJ693F_fG5lCRkt4sxeDiV13uqWwSBBh_dyzortnZiOS9drMMD_P-Au8qnLxyoMxq9TJmuajNMhlryO_xv-wNYC3iu1BLBD_kEsGxWrGA6-N6mF7A1nSHgnXIJgR2v-cmbpxUGY4MuhbsMa5U7WRmtPxHAdsunuA3KeCPkQmFjsE_jrbOB8wtLJtpozQAH_7EkqvXtPEwEQEBzflVC67XgqyMHWtSJPj3uY5ZyoKkIqjzXAhaXAKRtC7hi6nJ5Jq2vbw/https%3A%2F%2Fwww.massgeneralbrigham.org%2Fcomplianceline>> . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.
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