Li Chun, Shepherd Bryan E
Department of Biostatistics, Vanderbilt University, Nashville, Tennessee 37232, U.S.A. ,
Biometrika. 2012 Jun;99(2):473-480. doi: 10.1093/biomet/asr073. Epub 2012 Mar 30.
We propose a new residual for regression models of ordinal outcomes, defined as {(,)}, where is the observed outcome and is a random variable from the fitted distribution. This new residual is a single value per subject irrespective of the number of categories of the ordinal outcome, contains directional information between the observed value and the fitted distribution, and does not require the assignment of arbitrary numbers to categories. We study its properties, describe its connections with other residuals, ranks and ridits, and demonstrate its use in model diagnostics.
我们为有序结果的回归模型提出了一种新的残差,定义为{(,)},其中是观测结果,是来自拟合分布的随机变量。这种新残差对于每个个体是一个单一值,与有序结果的类别数量无关,包含观测值与拟合分布之间的方向信息,并且不需要为类别分配任意数字。我们研究了它的性质,描述了它与其他残差、秩和ridit的联系,并展示了它在模型诊断中的应用。