CVtotal ≠ CVintra + CVinter [Power / Sample Size]

posted by Helmut Homepage – Vienna, Austria, 2015-05-15 15:05 (3707 d 09:06 ago) – Posting: # 14827
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Hi John John,

❝ In a bioavailability study with six healthy volunteers:


I would never plan a pivotal study based on results of such a small pilot – especially if the variability is high. Let’s assume a CV of 30%. From six subjects we can calculate a confidence interval of the CV with 18–102%. Not meaningful.

...(Cmax; range 135–422 ng ml-') and time to maximum (tmax; range 1.5–7.0 h) for the three tablet doses showed significant differences between subjects (P <0.009; between subject coefficients of variation (CVs) 34% and 27%, respectively). There were no within subject differences in C, (P = 0.32; mean within subject CV 11%


The quoted text leaves many questions open. I guess it was a crossover. Significant differences between subjects… Why report this at all? Since we know that results come from different sub­jects, this effect will  always  likely be significant.
[image]Two values for CVinter? How were those calculated? From the ANOVA you get only one. Some people use the (arithmetic!) SD/mean of treatments (like in the crappy paper above). Has nothing to do with the ANOVA on log-transfomed data.

❝ To calculate the sample size for a parallel study I use the total CV= 45?


No way! CVs are not additive (CVpooled  CVintra + CVinter). See the methylphenidate example from this post.

  MSe      MSs   CVintra CVinter CVpooled
0.004882 0.07675 7.00%   19.1%   20.4%


❝ or do I need the pooled variability?


Yes.

❝ Which is?


Not the slightest idea. Not accessible from what you posted. You need either the complete ANOVA or the raw data.

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