Lilford R J
Int J Technol Assess Health Care. 1989;5(3):459-72. doi: 10.1017/s0266462300007510.
This article develops arguments for the use of decision theory, rather than intuition, to determine the size of trials. It is wrong to expect doctors to ignore personal preferences in favor of clinical experiments unless the trial is capable of showing differences in treatment effect that would influence clinical practice substantially. It follows from our analysis that if delta (the treatment effect that the trial is designed to detect) is sufficient to alter clinical practice, then the alpha and beta errors of a trial should be equal. This applies even if a new treatment is to be compared with conventional therapy or if a treatment with high "costs" is compared with a less invasive or more inexpensive method.
本文提出了运用决策理论而非直觉来确定试验规模的论据。期望医生忽视个人偏好而支持临床试验是错误的,除非该试验能够显示出治疗效果上的差异,而这种差异会对临床实践产生重大影响。从我们的分析可以得出,如果δ(试验旨在检测的治疗效果)足以改变临床实践,那么试验的α误差和β误差应该相等。这一点即使在将新疗法与传统疗法进行比较,或者将具有高“成本”的疗法与侵入性较小或成本较低的方法进行比较时也同样适用。