Self S G
Fred Hutchinson Cancer Research Center, Seattle, Washington 98104.
Biometrics. 1991 Sep;47(3):975-86.
A class of adaptive weighted log-rank statistics is described where the vector of weights is chosen in a data-dependent way from a family of "smooth" weight vectors. A parametric family of weight vectors is identified which includes most shapes of weighting vectors that will be near optimal in many cancer prevention and screening trials. This family of weight vectors is used in an application of the proposed method to data from a breast cancer screening trial. Results from a small simulation study comparing the power of the adaptive statistic to that of the unweighted log-rank statistic are presented.
描述了一类自适应加权对数秩统计量，其中权重向量是根据数据从一族“平滑”权重向量中以数据依赖的方式选择的。确定了一个参数化的权重向量族，其中包括在许多癌症预防和筛查试验中接近最优的大多数加权向量形状。该权重向量族被用于将所提出的方法应用于乳腺癌筛查试验的数据。给出了一个小型模拟研究的结果，该研究比较了自适应统计量与未加权对数秩统计量的检验效能。
