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A Brief Introduction to Influence Diagnostics in Regression

Published online by Cambridge University Press:  10 March 2009

David C. Hoaglin
David C. Hoaglin
Affiliation:
Harvard University
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Abstract

Statistical analyses that involve regression methods often encounter data in which some observations have substantial influence. This article presents a nontechnical discussion of influence and of two techniques, based on leaving out each individual observation in turn, for diagnosing influential data. An example illustrates the techniques in an analysis of recurrence rates in endoscopic treatment of bleeding peptic ulcers.

Type
Statistics
Information
International Journal of Technology Assessment in Health Care , Volume 7 , Issue 2 , Spring 1991 , pp. 227 - 234
Copyright
Copyright © Cambridge University Press 1991

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References

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