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Final pharmacokinetic parameter estimates and secondary parameter estimates are reported in Tables 2 and 3.
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Correlations of drug-related alteration in fMRI signal with other measures: for these secondary analyses, parameter estimates were extracted from any region(s) showing a task-specific drug effect.
Final model-derived pharmacokinetic parameter estimates and secondary estimates are presented in Tables 2 and 3, respectively.
The parameter estimates for background levels of pathogens and the secondary transmission parameter were estimated using the method outlined in Supplemental Material: Appendix 5 (online at http://www.ehponline.org/members/2008/10994/suppl.pdf) to achieve a background incidence level of 40 cases per 100,000 people per year.
Validation using an external dataset would entail calculating the prognostic index using the parameter estimates from this study cohort applied to the covariate values of the secondary dataset.
Table 2 Parameter estimates for final model.
All parameter estimates are reported in Supplementary Table 3.
Correction for Bias in Maximum Likelihood Parameter Estimates Due to Nuisance Parameters.
The parameter estimates from RDU model with the single-parameter weighting function provide the most robust estimates of MAR.
All parameter estimates showed significant ESS (>300).
All parameter estimates showed significant ESS (>250).
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