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Which of the following is NOT a factor statisticians consider to evaluate sample size?

  1. Blinding method

  2. Magnitude of IP effect expected between treatment arms

  3. Variability of outcome

  4. Probability of observing effect

The correct answer is: Blinding method

The other options are incorrect because they all pertain to factors that statisticians typically consider when evaluating sample size. Blinding method ensures objectivity and reduces bias, magnitude of IP effect helps determine the appropriate sample size to detect a significant difference, variability of outcome affects the precision of the estimated effect, and probability of observing effect is a crucial factor in determining power and sample size calculations. A blinding method, on the other hand, does not directly impact the sample size calculation and is not a factor that is typically considered in this context. It is used to reduce bias and ensure objectivity in the study design and data collection process.