The results of bootstrapping analyses also confirmed that the generated models are robust and reliable.
These mental models are robust to demographic factors like gender and web expertise.
More specifically, our models are robust against covariate imbalance on the predictors included in the entropy balancing algorithm but are not necessarily robust against omitted variable bias.
These models are robust in mimicking various aspects of cell population, but fail to examine the effects of cell deformation and morphology on pattern formation and growth processes.
It is unclear whether published models are robust against these influences.
The results of the model are robust against such sources of random error.
Also note that associations identified in the main models are robust to inclusion of these measures.
This experiment allows us to investigate whether estimated regression models are robust to non-continuous response data.
Mixed models are robust to unbalanced designs and thus data from single-sex populations could be included [ 95].
Simulations should be done to see whether these models are robust to such large population size reductions.
