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powerThe power of a study is the probability of detecting an effect, such as a difference between two groups, if it is true. Larger sample sizes result in more power. In general, powers of 80% or higher are considered acceptable. |
precisionIn the context of sample size calculations, precision describes the margin of random error around an estimate. Precisions of 5% or lower are commonly used. |
prevalenceThe proportion of a population with a particular condition at a particular time, such as the number of Salmonella isolates in the population that are resistant to a particular antibiotic at the time of reading. |
probabilityThe extent to which an event is likely to occur, expressed quantitatively as a value between 0 and 1 (or between 0% and 100%). |