首页 | 本学科首页   官方微博 | 高级检索  
     检索      


On Multi-Sided Permutation Tests
Authors:F Bertoluzzo  F Pesarin  L Salmaso
Institution:1. Department of Statistical Sciences , University of Padova , Padova , Italy;2. Department of Management and Engineering , University of Padova , Vicenza , Italy
Abstract:In fields such as clinical trials, the environment, epidemiology, genetics, pharmacology, social experiments, etc., situations in which the effect of a treatment can be positive on some individuals and negative on the rest may sometimes occur. In a two-sample design, this situation can be expressed by a response model where a random effect Δ in the alternative is such that  /></span>, and <span class= /></span>. Such a situation is essentially different from the traditional two-sided test, in which the alternative is assumed to be active only on one of two directions. We consider alternatives in which two sub-alternatives (Δ < 0) and (Δ > 0) can be jointly active. In order to deal with such an atypical situation, we suggest to firstly apply two goodness-of-fit tests, one for the positive deviations from the empirical distribution function of control sample and the other for the negative, and then proceed with their nonparametric combination within a permutation framework. A simulation study inspects on properties of such a solution.</td>
	  </tr> 
	  <tr>
	   <td align=
Keywords:Combining dependent permutation tests  Multi-sided tests  Random effect  Testing two sides separately
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号