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In hypothesis-testing science, the consideration of sample size is secondary to more primary considerations of quality of the measures and correctness of design.
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Because the analysis for the secondary question requires more patients than the primary research question, the sample size is chosen with regard to the secondary research question.
The sample size is also sufficient to analyse the secondary objectives.
The sample size is thus powered by the first secondary outcome of the CHAMP study, estimated as 466 patients, assuming a 20% drop-out by 24 months, leading to an estimated total of 372 completed with equal randomisation between groups.
As noted above, the small sample size is one limitation of our study, particularly for secondary outcomes.
Choosing the right sample size is important.
The sample size is n = 1,520.
The sample size is so small.
The typical sample size is 1,000 people.
Your sample size is way too small.
The sample size is small, for one thing.
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