Structure of a Trial: - Newcastle University
Sample size estimation:
key points
i) Why perform sample size estimations?
There are several reasons for doing a sample size calculation. The two main ones are a) it gives a simple stopping rule that allows the trial to be terminated in an unbiassed way and b) it aims to ensure that trials are large enough to provide conclusive evidence and small enough to be ethically acceptable.
ii) Role of hypothesis tests
A trial ought to provide adequate evidence about the efficacy of the treatment being investigated. To do this we need to make sure the trial is sufficiently large. A common criterion for determining this is to try to ensure that the trial is large to have a good chance (the power) to reject a null hypothesis of no treatment effect if the true treatment effect is more than a minimal value (the minimum clinically important difference).
iii) Normal variables
The size of a trial with a Normally distributed outcomes requires the investigator to specify the significance level, power, standard deviation of the outcome and the minimum clinically important difference. In a two group trial, for a given total sample size, the largest power is obtained by allocating equally to both groups.
iv) Binary variables
Similar to above, but dependence of variance on the true proportion means that pre-specification of the two proportions, not just their difference is needed. However, there is no standard deviation to specify.
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