JSM Preliminary Online Program
This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

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Activity Number: 8
Type: Invited
Date/Time: Sunday, August 6, 2006 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract - #305247
Title: Analysis of Correlated Dental Data: Challenges and Recent Developments
Author(s): Brian G. Leroux*+
Companies: University of Washington
Address: 1959 NE Pacific Street, Seattle, WA, 98195,
Keywords: estimating equation ; clustered data ; cluster size ; correlation structure
Abstract:

In clinical dental research, outcomes typically are recorded on many sites within each patient's mouth. These outcome data present a unique set of challenges for statistical analysis, including large cluster sizes, multilevel data structures (e.g., teeth within patients, sites or surfaces within teeth), complex correlation structures, informative cluster sizes, missing data at different levels, and a small number of clusters. The impact of these features on bias and precision of statistical analyses will be discussed. Recent methodological developments by the author and colleagues will be presented, with an emphasis on estimating equations methods that address issues arising with large cluster sizes, complex correlation structures, and informative cluster sizes.

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Revised April, 2006