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Comparison of R-squared and confidence interval values between the main models and sensitivity analyses shows that models using cross-correlation lag structures, while controlling for health expenditure, produced higher R-squared values and tighter confidence intervals than those using geometric lag structures or models that did not control for health expenditure (please see Appendix Tables A2A4 for details)

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The National Cancer Institute and the FDAs Center for Tobacco Products supported this research.