## User: Jenny G

Jenny G0
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Last seen:
21 hours ago
Joined:
4 weeks, 1 day ago
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j********@mac.com

#### Posts by Jenny G

<prev • 5 results • page 1 of 1 • next >
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... There's a fair bit to consider here, I'll think it over. My concern is that I want to give some sort of measure of effect size, with a coherent description. Not so easy in this case, I think! I'll consider the ordinary factor approach too. I could compare each dose group to control, then filter out ...
written 21 hours ago by Jenny G0
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... Hi Aaron, Thanks again for your help. I'm struggling now with interpreting and explaining the FCs, with this design. I would like to present a table of results with p-values and FCs, then give a clear explanation of the analysis, and explain the results for one example (say, the top hit). I'd also ...
written 6 days ago by Jenny G0
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... Thanks Aaron, I think I follow. A trend across within-patient changes sounds like what I want. I've done it this way and the results make sense. I've calculated percent change from baseline and plotted the hits, and they look good (e.g. effect sizes look right). Thank you for your help! ...
written 7 days ago by Jenny G0
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... Hi Aaron, Thanks for your time and your help. My apologies for not explaining the experiment well, I've tried to clarify below. I have a few points/questions, if you have the time to help me. 1. Treatment is an ordered factor, so limma reports linear, quadratic and cubic effects (same as lm() does ...
written 11 days ago by Jenny G0
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... Hi all, I have 4 dose groups, technical duplicates, and pre- and post-treatment data. I'm interested in detecting a linear trend across dose groups, adjusting for pre-treatment variability. I'm not certain how to set this up. Data is like this: patients <- data.frame(Patient = rep(c(1,2,3,4,5, ...
written 29 days ago by Jenny G0 • updated 29 days ago by Aaron Lun20k

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