Health Questions and Answers

Do sample size and power matter?

Power is the probability that the study will detect a treatment effect between the two experimental groups. The smaller the size of the treatment effect being studied, the larger the sample size should be. Many studies do not have a large enough sample size to detect a statistically significant difference and may report negative results when a significant difference may have been detected in an appropriate sample size. Without adequate power, the study results may be inconclusive.

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