Sentence examples for model estimated little from inspiring English sources
Proposed model estimated little higher n values for weaker connections, but it is much less than 2 to get sharp rotation at the yielding zone of moment-rotation curves (Fig. 2).
> -wrap-foot> > -wrap-foot> Despithethe strong seasonal pattern seen in deaths attributed to circulatory causes, the model estimated that influenza made little or no contribution to mortality in this category (probability of positive association, 46.9%).
When comparing to the baseline model estimated on the same sample as the augmented model, we can see only very little variation.
Models that also included dust ΣBDE3 concentrations showed a weaker association with dust concentrations compared with the univariate model estimates, but little change in associations with handwipe concentrations from univariate estimates (data not shown), suggesting that handwipe concentration is in part an intermediate variable.
Inclusion of year of diagnosis (model 2) changed this estimate little, but introduction of stage (model 3) lowered the RER to 2.35, indicating that stage at diagnosis is an important explanatory variable.
Inclusion of additional covariates had little influence on model estimates (data not shown).
Adjusting for parity had little influence on model estimates [ Table 3; see also Supplemental Material, Tables S3 and S4 (http://dx.doi.org/10.1289/ehp.1205301)].
Ambient PM2.5 concentrations were not correlated with occupational exposures examined in the sensitivity analyses (r < 0.13), and additional adjustment for these factors had little impact on model estimates for PM2.5 (see Supplemental Material, Table S2).
Collectively, the new polls do little to change the Pollster tracking model estimates of the current polling snapshot in the battleground states.
Compared with single-pollutant model estimates, multipollutant mortality risk estimates were slightly attenuated for OCM, EC, and sodium ion and slightly increased for silicon, indicating that there was little joint confounding by the four constituent exposures.
