Sample size for a pilot study to estimate the CVintra [Power / Sample Size]

posted by yjlee168 Homepage – Kaohsiung, Taiwan, 2010-03-02 00:47 (5553 d 21:38 ago) – Posting: # 4846
Views: 13,190

Dear Helmut,

Thank you for your message.

❝ statisticians, because we would need some priors in this case. Actually the questions is: how small can a pilot study be that with a certain confidence the sample size estimation for the pivotal study is reliable?


Exactly.

❝ Main hint: The larger, the better. OK, that's trivial, but let's play around with the formula (balanced 2×2 studies), upper 80% CL of CVintra:

   n  10%   15%   20%   30%   40%    50%

   4  21.4  32.4  43.8  68.7  97.2  131

   6  15.6  23.6  31.6  48.2  65.8   84.8

  12  12.7  19.1  25.6  38.7  52.1   66.0

  16  12.2  18.3  24.4  36.9  49.5   62.5

  24  11.6  17.5  23.3  35.1  47.1   59.8

  32  11.3  17.0  22.7  34.2  45.8   57.6


Uhh... Sorry about that I don't know how to interpret/use this table.

❝ For an expected CV of 20% I would say 12 subjects are OK, for HVDs the minimum in a pilot is 16-24.


O.k.. could be a good guess.

❝ Wow, four! That's brave. Six is Vinod Shah's magic number - I call that a dice game with the devil.


That's commonly used with 4-6 subjects in a BE pilot study here... I just cannot believe that the subj# like that could give a good estimation of CVintra at all. It almost becomes SOP with local CROs here to use 4-6 subjects to perform a BE pilot study. Then they replicate the values they get from these 4-6 subjects up to 24 or so, and finally do an anova to obtain the MSE. And they get their estimated CVintra! I am thinking that it should be very to prove that CVintra is poorly estimated in that way.

❝ subjects each, or in two subsets of twelve subjects. Again: the bigger, the better.


Yes, but the question is: how bigger is the better? It's a pilot study only, but it seems very critical.

All the best,
-- Yung-jin Lee
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