O'Gorman T W, Woolson R F
Department of Mathematical Sciences, Northern Illinois University, DeKalb 60115, USA.
Biometrics. 1995 Dec;51(4):1451-60.
In this manuscript we evaluate the performance of a variable selection procedure that could be used in case-control studies. This method is based on selection statistics computed from a matrix of Kendall tau b correlation coefficients. A simulation study was performed to compare the performance of this method to logistic regression, discriminant analysis, and the rank-transformed versions of these methods. For most of the situations studied the method based on Kendall tau b correlation coefficients correctly selected the variables that were related to case-control status more often than any of the other methods. We discuss the implications of the results of this study for epidemiologic research.
在本手稿中，我们评估了一种可用于病例对照研究的变量选择程序的性能。该方法基于从肯德尔tau b相关系数矩阵计算得出的选择统计量。进行了一项模拟研究，以比较该方法与逻辑回归、判别分析以及这些方法的秩变换版本的性能。在所研究的大多数情况下，基于肯德尔tau b相关系数的方法比其他任何方法都更频繁地正确选择与病例对照状态相关的变量。我们讨论了本研究结果对流行病学研究的意义。
