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In order to investigate the quality of the parameter estimates, standard deviation and correlation between parameters are provided via the Fisher Information Matrix, which full rank allowed establishing practical identifiability of the proposed model.
We examine whether using public National Hospital Ambulatory Medical Care Survey (NHAMCS) data with masked design variables produces different estimates, standard errors, and confidence intervals (CIs) for the temporal trend of overall and injury-related emergency department (ED) visits compared with using unmasked data housed at the Centers for Disease Control and Prevention.
Estimates standard 2009 2009 estimates and 2014 projections.
Information concerning individual parameter estimates, standard error and statistical significance is provided in separate ANOVA tables.
Parameter estimates, standard deviations, and, t values were calculated accordingly (Tables 3 and 4).
Table 2 shows the parameter estimates, standard errors, t-values, and P-values.
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This approach provided a correctly estimated standard error for the estimated relative risk.
SE = standard error; β = standardized path coefficient; SEE = standard error of estimate (estimated standard deviation of the residual variable).
(S.E.=one estimated standard error) for iron surface and 3.59±0.76 S.E. for graphite surface.
SE is the parameter estimate standard regression.
*The estimate of risk is the estimated standard deviation of annual returns.
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