Abstract #300950

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JSM 2002 Abstract #300950
Activity Number: 197
Type: Topic Contributed
Date/Time: Tuesday, August 13, 2002 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing*
Abstract - #300950
Title: Model Assessment Plots for Logistic Regression with Multi-level Covariates
Author(s): Iain Pardoe*+
Affiliation(s): University of Oregon
Address: Lundquist College of Business, Eugene, Oregon, 97403-1208,
Keywords: Diagnostic ; Graphical method ; Hierarchical model ; Model criticism ; Bayesian methodology ; Mixed-effects
Abstract:

Residual plots are traditionally used to assess the fit of a regression model, yet can be difficult to interpret when the response variable is binary. This difficulty becomes compounded when covariates have a hierarchical or multi-level structure. An alternative graphical procedure is proposed for visualizing goodness of fit in such settings. The methodology is illustrated with an analysis of individual-level and county-level effects on sentencing practices for felony convictions across the U.S.

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