Inter and Total Variability [Power / Sample Size]

posted by Helmut Homepage – Vienna, Austria, 2011-09-14 02:43 (5047 d 04:36 ago) – Posting: # 7351
Views: 13,740

Dear Benjamin,

THX for thinking it over again and forcing me to dig out old references. My output (given by a software I have written in the mid-1980s) didn’t contain MSEt (only SSEt and df). In this table I thoughtlessly used MSEt = SSEt/df…

❝ […] MSEt is not the sum of MSEw and MSEB, it's MSEw + (MSEB - MSEW)/2.


Which reduces to MSEt = (MSEB + MSEW)/2. q.e.d.
I should have paid more attention to my own slide. :angry:
Therefore:
Study           CVintra  CVinter  CVtotal   MSEw     MSEB     MSEt
Methylphenidate  7.00%  19.13%  20.41%   0.004882 0.076746 0.040814
Lansoprazole    47.01%  25.14%  54.60%   0.199667 0.322229 0.260948

The percentage CVtotal intra/total is nonsense (apples and oranges).

❝ And σ²inter is estimated by (MSEB - MSEW)/2 and not MSEB (in the references you posted these values are plugged in for calculating the corresponding CV, so I guess these values themselves represent direct estimates for the variances).


Right.

❝ Then of course it makes sense. A conservative estimator for the intra variability would then be MSE_t.


Also correct. But then we are relying on:
[image]

In the methylphenidate example conservatism will be very expensive.

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