Included among these are analyzing the sequence of queries made by a client, encrypting the contents of these queries, perturbing the viewpoint and lighting parameters contained in each query, perturbing the OpenGL lighting model used when rendering the model, warping the rendered image, adding noise to it, and compressing it with quantization before transmission back to the client.
This could be circumvented by simulating with the same implicit solvent model used when evaluating the free energy.
The conclusion from this modeling was that low-dose corticosteroid treatment was associated with increased mortality regardless of the model used, when adjusted by relevant clinical and demographic factors.
The most important conclusion from modeling was not the actual value presented for mortality reduction, rather that DrotAA treatment consistently reduced the risk of mortality regardless of the model used, when adjusted by data imbalances and demographic factors.
Figure 3 shows the basic model used when testing hypotheses 4-5 about how experienced and witnessed incivility is related to negative outcomes (well-being, job satisfaction, turnover intentions, and sleeping problems).
Following Pinheiro and Bates (2000), maximum likelihood fitted models were used when models were compared, whereas a restricted maximum likelihood fitted model was used for parameter estimation.
Following Pinheiro and Bates (2000), maximum likelihood (ML) fitted models were used when these models were compared, whereas models were fitted using the restricted maximum likelihood (REML) when we extracted parameter estimates (see main text).
This is probably because no field-aligned current models are used when generating the synthetic data set.
Covariate-adjusted generalized linear models were used when adjusting for age.
The physical models are used when the properties of the system are almost "scale-invariant".
