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**RE: Design Matrix and Contrast**Jul 20, 2018 05:07 PM | Andrew Zalesky

RE: Design Matrix and Contrast

Hi Anita,

you wrote "I ran a paired two-sample means test to compare the changes in significant connections between group 1 and group 2"

But this seems to contradict the fact the you did not find any significant connections between group 1 and group 2.

Note that the one-sample test will not test for differences between the groups. It will just tell you whether the connection weight is significantly different from zero.This has nothing to do with a between group difference.

It is also unclear how you corrected for multiple comparisons in Excel. Did you run a t-test separately for each connection (this requires correction for multiple comparisons), or did you run a t-test on some kind of average across connections?

In general, a paired t-test will paired t-test will offer greater power in this situation.

Andrew

you wrote "I ran a paired two-sample means test to compare the changes in significant connections between group 1 and group 2"

But this seems to contradict the fact the you did not find any significant connections between group 1 and group 2.

Note that the one-sample test will not test for differences between the groups. It will just tell you whether the connection weight is significantly different from zero.This has nothing to do with a between group difference.

It is also unclear how you corrected for multiple comparisons in Excel. Did you run a t-test separately for each connection (this requires correction for multiple comparisons), or did you run a t-test on some kind of average across connections?

In general, a paired t-test will paired t-test will offer greater power in this situation.

Andrew

*Originally posted by asinha:*Andrew,

I will clarify my previous post below.

Given that I did not find statistical significance in NBS when running a paired t-test between group 1 (before) and group 2 (after), I ran one-sample t-tests on my 26 subjects using the following design matrix:

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

to identify the most significant connections between ROIs for group 1 and again for group 2.

Then, in Excel, I ran a paired two-sample means test to compare the changes in significant connections between group 1 and group 2 and got a p-value = 6.40*10^-5.

My question is: how is this different than running a paired t-test in NBS that accounts for repeated measures with the first design matrix in my original post? When I run that, I get a p-value of 1.0.

Regards,

Anita

I will clarify my previous post below.

Given that I did not find statistical significance in NBS when running a paired t-test between group 1 (before) and group 2 (after), I ran one-sample t-tests on my 26 subjects using the following design matrix:

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

to identify the most significant connections between ROIs for group 1 and again for group 2.

Then, in Excel, I ran a paired two-sample means test to compare the changes in significant connections between group 1 and group 2 and got a p-value = 6.40*10^-5.

My question is: how is this different than running a paired t-test in NBS that accounts for repeated measures with the first design matrix in my original post? When I run that, I get a p-value of 1.0.

Regards,

Anita

## Threaded View

Title | Author | Date |
---|---|---|

asinha |
Jul 17, 2018 | |

Andrew Zalesky |
Jul 17, 2018 | |

asinha |
Jul 18, 2018 | |

Andrew Zalesky |
Jul 18, 2018 | |

asinha |
Jul 19, 2018 | |

Andrew Zalesky |
Jul 20, 2018 | |