JSM 2005 Online Program

Abstract #304059

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	200
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Statistics in Epidemiology
Abstract - #304059
Title:	The Summary Density: A graphical Tool for Metaanalytic Diagnostics
Author(s):	David Svendsgaard*+
Companies:	National Center & Caucus on Black Aged, Inc.
Address:	U.S. EPA, Research Triangle, NC, 27711,
Keywords:	meta-analysis ; histogram ; variable kernel density estimator ; heterogeneous effects ; odds ratio
Abstract:	A histogram of study effects may reveal deviations from the assumptions of metaanalysis. For example, metaanalyses often assume the heterogeneous effects have normal distributions. Typically, effects such as odds ratios have standard errors that vary between estimates, and the usual histogram does not take this into account. It is assumed the distribution of the measurement precision of each effect is normal. For each effect, the normal density of each estimated effect is computed based on the estimated effect and its standard error. The summary density is the average at each possible effect value of these densities. The summary density is presented and simulation results are discussed, compared to other methods, and applied to epidemiological datasets. Simulation results indicate the summary density can reveal bimodal and possibly other features of the underlying distribution of heterogeneous effects.

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