Displays a graph of the deviance residuals versus the risk scores. The graph measures the effect of a given subject on the model. Use this plot to detect outliers.
Displays the Andersen plot for the stratification variables. Use this graph to assess the proportional hazards assumption for the strata. If the assumption holds, the curves are straight lines through the origin. If the variables do not need to be in the model, the curves roughly follow the 45° line. Minitab displays this plot only if the model is stratified.
Displays graphs of the Martingale residuals versus the variables that you specify. Use this plot to assess whether you should add a predictor to the model, or whether you should use a different functional form for an existing predictor. For example, use a plot of the Martingale residuals with a variable to assess whether a square term for a continuous predictor would improve the fit of the model. You must specify at least one column. The column must be numeric or date/time data and must have the same number of rows as the response column.