w******8
发帖数: 59 | 1 In a clinical trial, we measured the quantity of interest at week 0, 4, 8
and 12. Our primary end point is the measure at week 8. The PI would like to
see if the week 4 measure can predict week 8 measure. So I did a plot of
week 8 change score vs. week 4 change score. Of course the two change scores
are correlated. I have two questions that I would like to discuss with you:
1. Since we are not building a model to do prediction, shall I just report
correlation coefficient along with the p value? This is what the PI has
asked to do.
2. I don't like the idea of reporting the correlation at all: it is expected
week 4 and week 8 measure will be correlated. But since they are not equal,
week 4 measure can't take place of week 8 measure. So why bother to report
the correlation. What use can come out of it?
Thank you for your inputs! | A*******s
发帖数: 3942 | 2 can week4 measure serve as a surrogate marker of week8 measure?
just curious... I don't know any biostats.
to
scores
you:
expected
equal,
【在 w******8 的大作中提到】
: In a clinical trial, we measured the quantity of interest at week 0, 4, 8
: and 12. Our primary end point is the measure at week 8. The PI would like to
: see if the week 4 measure can predict week 8 measure. So I did a plot of
: week 8 change score vs. week 4 change score. Of course the two change scores
: are correlated. I have two questions that I would like to discuss with you:
: 1. Since we are not building a model to do prediction, shall I just report
: correlation coefficient along with the p value? This is what the PI has
: asked to do.
: 2. I don't like the idea of reporting the correlation at all: it is expected
: week 4 and week 8 measure will be correlated. But since they are not equal,
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