RE: WRES AND OUTLIER IDENTIFICATION/EXCLUSION

From: Chuanpu.Hu@sanofi-aventis.com Subject: RE: [NMusers] WRES AND OUTLIER IDENTIFICATION/EXCLUSION Date: Tue, 26 Sep 2006 17:08:06 -0400 I think Mike pointed out an important distinction. As Mats suggested, most of the time outliers are model-dependent; i.e., outliers occurred because the appropriate model wasn't or couldn't be fitted. If the quality of the apparent outliers are questionable, this becomes a robustness/sensitivity issue. This can only be assessed by analyzing data in two ways, including and excluding the outliers. In any case, I see no rationale for simply excluding. Of course, excluding outliers makes the result look better, which can be very appealing... Chuanpu