Pooling: example [Power / Sample Size]

posted by Helmut Homepage – Vienna, Austria, 2010-12-23 17:11 (5294 d 16:39 ago) – Posting: # 6338
Views: 13,186

Dear Kim!

❝ I know "Calculate the variance from CV"


OK.

❝ I don't know "Calculate the total variance weighted by df"

❝ Naturally I don't know "Calculation the pooled CV from total variance"

❝ How is the calculate the total variance?

❝ I want explain this by Excel or Electronic File ;-)


See the examples (slides 18–20).
In a 2×2 cross-over study you have 2 sequences (TR|RT). Therefore, with a sample size of \(\small{n}\) we have \(\small{df=n-2}\).
In my first example (slide 18), first study: \(\small{n=12}\), \(\small{df=12-2=10}\), \(\small{CV=0.2\;(20\%)}\), \(\small{\sigma^2=\log_{e}(CV^2+1)=\log_{e}(0.04+1)\approx0.0392}\), weighted variance \(\small{\sigma_\textrm{w}^2=\sigma^2\times df\approx 0.3922}\).
Repeat these steps for all studies and calculate the “total variance weighted by df” \(\small{\sigma_\textrm{tot}^2}\). In the example that’s \(\small{(0.3922+0.8618)/(10+10)=0.0627}\). Then \(\small{CV_\textrm{pooled}=\sqrt{\exp(\sigma_\textrm{tot}^2)-1}\approx0.2544}\). No need for M$-Excel.

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