Good P I
Biometrics. 1979 Jun;35(2):483-9.
Non-responders attenuate average response an inflate sample variance, reducing the power of standard parametric tests. A new Fisher's type randomization test, which has no parametric analogue, is recommended when not all subjects may be capable of responding to treatment. The new test was evaluated by Monte Carlo means and applied to drug abuse data and to virus titre data. In most trial applications the new test proved to be more sensitive to treatment effects than Student's t.
无反应者会削弱平均反应并夸大样本方差，从而降低标准参数检验的功效。当并非所有受试者都能对治疗产生反应时，建议使用一种没有参数类似物的新型费舍尔型随机化检验。通过蒙特卡罗方法对新检验进行了评估，并将其应用于药物滥用数据和病毒滴度数据。在大多数试验应用中，新检验被证明比学生t检验对治疗效果更敏感。
