Abstract
Standardization and decomposition are widely used analytic techniques in population studies for adjusting the impact of compositional factors on rates. This study demonstrates the application of these methods to behavior and health studies. Bootstrapping is used to estimate standard errors of the component effects and to conduct significance tests for them. The authors have developed a Windows-based computer program that is demonstrated in the study for standardization and decomposition analysis by using empirical data on HIV seropositivity rates in two injection-drug-using populations in the northeastern United States.
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This research was supported by the National Institute on Drug Abuse (Grant U01 DA07305). The authors thank the previous editor, Robert W. Proctor, reviewer Patrick Onghena, and another anonymous reviewer for their helpful comments on revision of the original manuscript.
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Wang, J., Rahman, A., Siegal, H.A. et al. Standardization and decomposition of rates: Useful analytic techniques for behavior and health studies. Behavior Research Methods, Instruments, & Computers 32, 357–366 (2000). https://doi.org/10.3758/BF03207806
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DOI: https://doi.org/10.3758/BF03207806