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To remedy the relative risk overestimation for these condition categories, we scaled the rate ratios estimated from dNHI and Medicare 5% sample using the regression results from the MEPS analysis by applying a scalar (with the scalar calculated as the full model rate ratio divided by the naïve model rate ratio) (2).
*95% Confidence Intervals computed under standard large sample Poisson assumptions [13] †Generalised Poisson regression model rate ratio estimates are adjusted for all other covariates The overall DGA rate across age-groups closely matched the extraction 1+ rate.
Current statin usage, which comprised 14% of all cumulated person-years, did not associate with the incidence of VTE according to the univariate model rate ratio (RR) 0.93 (0.56 to 1.52; table 2).
The results from the unadjusted negative binomial model (rate ratio 0.792, 95% CI 0.608,1.030, p = 0.082) and the Wilcoxon matched-pairs signed-ranks test for of the difference in distribution of the paired differences in duration on OS therapy in the observation period (p = 0.036) both indicated some evidence of differences.
Current statin usage did not associate with the incidence of VTE according to the univariate model (rate ratio (RR) 0.93, 0.56 to 1.52), but when adjusted with baseline variables (age, sex, medications) the RR declined to 0.60 (0.36 to 1.00, p=0.04).
Therefore, to be conservative in our cost estimates, we downward adjusted claims-based rate ratios for emergency department visits (0.70), hospital inpatient days (0.68), and ambulatory visits (0.66) for the general condition group by applying a scalar calculated as the MEPS-based naïve model rate ratio divided by the claims-based rate ratio.
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Day-Types that did not fall into one of the 17 mixtures were represented with a single indicator variable in the model; rate ratios for these Day-Types are not presented in the Results.
More specifically, smoking showed an association to the outcome that was considered too weak for inclusion in the models (rate ratio (RR) >0.7 but <1.3).
In multivariate models, rate ratios increased monotonically with increasing participation in secure messaging, suggesting a dose-dependent effect.
Next, the associations between changes in economic difficulties and subsequent sickness absence were examined by fitting Poisson regression models (rate ratios, and their 95% CI).
The number of hypoglycaemic episodes per subject was analysed using a negative binomial regression model with treatment and age as factors and the logarithm of subject exposure as offset, and from this model the rate ratio between the two treatment groups was estimated.
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