Robust regression was used whenever models were unstable.
However, although more detailed analyses were attempted, statistical models were unstable and therefore the results presented are primarily descriptive.
Although these results are similar to those presented, Variance Inflation Factors (VIFs) indicate that these regression models were unstable (see Methods).
However, these models were unstable; three farms with particularly large model residual values had a great influence on scenario 1 model coefficients (ifNY predictor variable was particularly unstable).
Evaluation of interaction terms of AKI and other variables was attempted; however, because of the low number of outcomes, regression models were unstable.
Because of the relatively high correlations between sex hormones (mean = 0.36, range = 0.13 to 0.71, 40% > 0.40), the models were unstable when we included multiple estrogens, androgens or all hormones simultaneously in the same multivariate model.
The associations between PM2.5 and all three outcomes were stronger when adjusted for PM2.5 10, but estimates from these models were unstable because of the high correlation between the two pollutants.
Possible explanations for this inconsistency include that the mutant Cep290 protein in the mouse and cat models is unstable and degraded, folds in such a manner as to affect the structure of the N-terminal region resulting in alteration of binding properties or results in changes in protein localization.
The motion of the electrons in the Rutherford model was unstable because, according to classical mechanics and electromagnetic theory, any charged particle moving on a curved path emits electromagnetic radiation; thus, the electrons would lose energy and spiral into the nucleus.
Unsurprisingly, free refinement of this model was unstable, so the occupancies and isotropic displacement parameters were fixed to sensible values and the positions, declinations and azimuth parameters of the carbon and hydrogen tori were constrained to be equal.
