Cox regression model is widely used in medical research to assess the effect of several risk factors on the survival time of patients. The {ggforest} function from {survminer} Paket easily creates a forest plot of its model estimates.
G. Singh. (2013)By comparing historical data of trading like daily Open, High, Low, Close, Volume, Number of Trades, Turnover, Delivery percentage etc. of a particular stock with its Peer Group companies and Non Peer Group companies stocks for a particular period, we can find some unusual observations which are also known as outliers. In this paper we have tried to detect the observations, which are very different from the other observations using a Data Mining Technique for Outlier Detection-“Multiple Linear Regression Analysis”..