Using resampling methods to detect influential points
As stated in the documentation for jackknife, an often forgotten utility for this command is the detection of overly influential observations.
Some commands, like logit or stcox, come with their own set of prediction tools to detect influential points. However, these kinds of predictions can be computed for virtually any regression command. In particular, we will see that the dfbeta statistics can be easily computed for any command that accepts the jackknife prefix. dfbeta statistics allow us to visualize how influential some observations are compared with the rest, concerning a specific parameter.
We will also compute Cook’s likelihood displacement, which is an overall measure of influence, and it can also be compared with a specific threshold. Read more…