Renovated Scatterplots for Censored Data
在简单线性回归中，当响应变量存在右删失时，通过垂直移动删失点来修正散点图，消除删失偏差，并探讨了该方法与最小二乘估计的关系及对回归诊断的影响。
In simple linear regression where the response variable has been subject to right-censoring, censored points in the scatterplot of observed data are moved vertically to create a renovated scatterplot where the bias of censoring is removed. The relationship to least squares estimation and the effect on regression diagnostics are examined in the multiple regression context.