| Literature DB >> 18416448 |
Abstract
Pre-study sample size calculations for clinical trial research protocols are now mandatory. When an investigator is designing a study to compare the outcomes of an intervention, an essential step is the calculation of sample sizes that will allow a reasonable chance (power) of detecting a pre-determined difference (effect size) in the outcome variable, at a given level of statistical significance. Frequently studies will recruit fewer patients than the initial pre-study sample size calculation suggested. Investigators are faced with the fact that their study may be inadequately powered to detect the pre-specified treatment effect and the statistical analysis of the collected outcome data may or may not report a statistically significant result. If the data produces a "non-statistically significant result" then investigators are frequently tempted to ask the question "Given the actual final study size, what is the power of the study, now, to detect a treatment effect or difference?" The aim of this article is to debate whether or not it is desirable to answer this question and to undertake a power calculation, after the data have been collected and analysed. Copyright 2008 John Wiley & Sons, Ltd.Entities:
Mesh:
Year: 2009 PMID: 18416448 DOI: 10.1002/pst.334
Source DB: PubMed Journal: Pharm Stat ISSN: 1539-1604 Impact factor: 1.894