A Detection Measure of Outliers Based on Forward Search Approach for Cox-Regression Model

Nor Akmal Md Noh
Ibrahim Mohamed
Nur Aishah Mohd Taib

Statistika
Vol 8, No 2 (2008)

This paper focuses on identifying possible outliers based on Cox regression model. Forward searchmethod has been applied in several studies involving regression-based models such as linearregression and generalized linear model. The method starts with a pre-selected subset of a data set.The method moves forward through the data by adding observations one by one and progressivechanges in values of statistics are noted. In this paper, we extend the application of forward search insurvival data analysis. Currently, graphical methods are used to detect any significant changes invalues of the statistics. We propose a measure which may aid us in determining observations that areoutlier.