Sentence examples for model that omitted from inspiring English sources

p values for the validity of the role of the cooling group on the outcome variable were obtained by likelihood ratio tests of the full model against a model that omitted the cooling group fixed effect.

We compared the full model with a gene model that omitted domain effects.

All clinical variables and special health care needs remained statistically significant in the regression model that omitted the overall risk scale, but associations between clinical risk factors and need for an evaluation were stronger as measured by the increase in the odds ratios.

Detection using our covariate-based seasonal time series model performed well across all EDs compared with fixed-effects regression models or time series models that omitted seasonal terms and/or covariates.

In models that omitted supermarket exposure as a covariate, the associations between combined takeaway food outlet exposure, consumption of takeaway food, and body mass index were attenuated towards the null (web figs 5 and 6, upper right panels, respectively).

Although in some specifications the estimates of the interaction term were statistically significant, the models from which they were obtained are outperformed by the restricted models that omit the Sense-Cog interaction.

However, given that these potential confounders are likely endogenous, one may worry about spillover bias.8 To rule out an effect of neighborhood deterioration we also estimate effects from models that omit the economic development variables.

Under-specified causal models, i.e. models that omit important variables, may mislead the user to detect spurious causal relationships.

This finding raises questions about health care utilization models that omit or minimize the role of cultural factors.

The 'best subsets' methodology consists of an initial filter removing models that omit (omission error = predicting absence in areas of known presence) heavily based on the extrinsic testing data, and a second filter based on an index of commission error (= predicting presence in areas of known absence), in which models predicting very large and very small areas are removed from consideration.

Moreover, a "omit" refinement should be performed with a small fragment of the protein omitted (< ∼10%) and a difference map of that omitted region calculated in order to assess the potential model bias of the maps.