Statistical analysis: sample size and power estimations
Statistical analysis: sample size and power estimations
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DOI：
10.1093/bjaed/mkv034
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发表时间：
2016-05-01
期刊：
影响因子：
1.6
通讯作者：
Atkinson, M. S.
中科院分区：
文献类型：
--
作者：
Columb, M. O.;Atkinson, M. S.
Medical research sets out to form conclusions applicable to populations with data obtained from randomized samples drawn from those populations. Larger sample sizes should lead to more reliable conclusions. Sample size and power considerations should therefore be part of the routine planning and interpretation of all clinical research. 1 The purpose of this article is to outline the issues involved and to describe the rationale behind sample size and power calculations.Research has significant costs in terms of organizational outlay and staffing, and also the potential costs to patients and subjects. Patients in clinical trials may be subjected to the risks of receiving potentially useless or harmful new treatments, or of not receiving a beneficial new treatment if they are assigned to a control arm. Consequently, there is a strong ethical justification
