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PSM · Biostatistics: sample size and effect size
Sample itemA study is designed to detect a 10 mmHg difference between two mean blood pressures with 80% power. The investigators now decide to detect a difference of only 5 mmHg, keeping the standard deviation, significance level and power the same. What happens to the required sample size?
Original practice item, not a recalled exam question. Nothing here is recorded.
The answer and the reasoning
B. It increases about fourfold
Sample size is inversely proportional to the square of the difference to be detected. Halving the difference from 10 to 5 mmHg multiplies the required sample by (10/5) squared = 4. Smaller effects therefore need much larger studies.
Option by option
A. It stays the same
The detectable difference is a key determinant of sample size, so it cannot stay unchanged.
B. It increases about fourfold (correct)
Correct. The relationship is with the square of the effect size, so halving it needs four times as many.
C. It halves
A smaller detectable difference makes the sample larger, not smaller.
D. It doubles
Doubling would apply if sample size depended linearly on the difference, which it does not.
Source note: Original NextPrep sample item — pending expert review. This item is original practice material awaiting independent expert review, so confirm important facts in a standard textbook.
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