Browne R H
Texas Scottish Rite Hospital for Children, Research Department, Dallas 75219, USA.
Stat Med. 1995 Sep 15;14(17):1933-40. doi: 10.1002/sim.4780141709.
To compute the sample size needed to achieve the planned power for a t-test, one needs an estimate of the population standard deviation sigma. If one uses the sample standard deviation from a small pilot study as an estimate of sigma, it is quite likely that the actual power for the planned study will be less than the planned power. Monte Carlo simulations indicate that using a 100(1-gamma) per cent upper one-sided confidence limit on sigma will provide a sample size sufficient to achieve the planned power in at least 100(1-gamma) per cent of such trials.
为了计算实现t检验计划功效所需的样本量,需要对总体标准差σ进行估计。如果使用小型预试验的样本标准差作为σ的估计值,那么计划研究的实际功效很可能低于计划功效。蒙特卡罗模拟表明,对σ使用100(1 - γ)%的单侧上置信限将提供一个样本量,足以在至少100(1 - γ)%的此类试验中实现计划功效。