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Exact(7)

Additionally, a full model fit was compared to the simple mean model fit.

The mean model fit to the data is shown in Figure 3e and the variability in deposition rate (CV = 130%) in Figure 3f.

Figure 1 c illustrates the importance of this method by comparing the proposed method to the mean model fit obtained for each quantile of exposure.

The mean model fit to the data is shown in Figure 3d, and the variability of estimated values of tvf_in_dox (CV = 270%) in Figure 3f.

The other three statistics are the mean model fit percentile, clade age errors per clade as a percent of tree height, and the percent of missed clades from the total number of non-trivial clades.

On the other hand, if we choose to present the mean model fit in each quantile (which may be a relevant model diagnostic plot), we may falsely conclude that the model supports that higher exposure provides higher response.

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Similar(53)

Also, the two factor model obtained an unacceptable standardized root mean residual model fit (RMSR = .09), and also a lower percentage of explained variance (53.99%).

Smaller DIC values mean better model fit.

The item position of PD onset i 0 for the 2PDM was defined by means of model fit comparisons: the model was repeatedly estimated with switching points (delta_{{i_{0} }} = 10, ldots,23), and the switching point was chosen where the BIC value was lowest.

Not surprisingly, the standardized root mean residual (SRMR) model fit statistic at the clinical area level was larger than desirable, indicating that further scale refinement could result in stronger factor loadings and a better fitting model at the clinical area level without sacrificing integrity of measurement at the individual caregiver level.

The mean model had a better fit, however, according to the DIC (416.5) compared with the DIC of the linear trend model (417.0).

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