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  1. confused_pleasehelp

    two-sample assuming unequal variances - too sensitive?

    Ah, except there are a different number of data points in the "after" - it's not a 1:1 matching... I just tried to do a paired t-test but it said the number of samples has to be the same. Is there a way to perform dependent measures t-test without each sample in 'before' needing to match up with...
  2. confused_pleasehelp

    two-sample assuming unequal variances - too sensitive?

    yeah it's pre-post, but the tumour is slightly different size after so it's not like each of the thousand pixel values from before can pair to a pixel value after - does that make sense? what test should I use @hlsmith?
  3. confused_pleasehelp

    two-sample assuming unequal variances - too sensitive?

    thank you, you are a hero. it's definitely an issue of having a very large sample size. I'm now wondering how to report these p values as it's very common in my field to just report p<0.0001 but it feels disingenuous. It is still very low p value even after adjusting the 95% confidence interval...
  4. confused_pleasehelp

    two-sample assuming unequal variances - too sensitive?

    Hi there, I'm comparing image values in a tumour region before and after treatment. I'm trying to see if the value of the pixels is significantly different after treatment. The histogram distributions look like this (for one tumour): I assumed using the 'two-sample test assuming unequal...