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133rd Annual Meeting & Exposition
December 10-14, 2005
Jichuan Wang, PhD1, Michael Kepler, MS2, Russel Falck, MA1, and Robert G. Carlson, PhD1. (1) Community Health, Wright State University, 3640 Colonel Glenn Hwy., Dayton, OH 45435, 937 775-2084, email@example.com, (2) Computing & Telecommunications Services, Wright State University, 3640 Colonel Glenn Hwy, Dayton, OR 45435
During the past decade, interest in the use of multilevel analysis to investigate public health problems has grown. The problems often occurr in the practice of multilevel modeling involve: 1) non-normality of the outcome measures under study; and 2) a small number of level-2 units in the hierarchical data (i.e., less than the required by the “30/30” rule). An approach to address these issues in multilevel modeling is bootstrap. This study demonstrates how to apply the parametric and non-parametric residual bootstraps to conduct robust multilevel modeling with only 20 level-2 units, using frequency of injection drug use data from the National Institute on Drug Abuse's Cooperative Agreement Project on HIV/AIDS. The original model results and the results of models with different bootstraps are compared. Details about conducting the parametric and non-parametric residual bootstrap for robust multilevel modeling are illustrated, using SAS Proc Mixed procedure.
Learning Objectives: At the conclusion of the presentation, participants (learner) would be able to know
Presenting author's disclosure statement:
I wish to disclose that I have NO financial interests or other relationship with the manufactures of commercial products, suppliers of commercial services or commercial supporters.
The 133rd Annual Meeting & Exposition (December 10-14, 2005) of APHA