An extensive power evaluation of a novel two-sample density-based empirical likelihood ratio test for paired data with an application to a treatment study of attention-deficit/hyperactivity disorder and severe mood dysregulation

摘要: In many case-control studies, it is common to utilize paired data when treatments are being evaluated. this article, we propose and examine an efficient distribution-free test compare two independent samples, where each based on observations. We extend modify the density-based empirical likelihood ratio presented by Gurevich Vexler [7] formulate appropriate parametric statistic corresponding hypothesis of our interest then approximate nonparametrically. conduct extensive Monte Carlo study evaluate proposed test. The results performed simulation demonstrate robustness with respect values parameters. Furthermore, power analysis via simulations confirms that method outperforms classical general procedures in most cases related a wide class alternatives. An application real illustrates ...