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New shapes are further generated with two different product models using four shape blending/morphing techniques.
Addition of CT angiography spot sign (odds ratio 4·46, 95% CI 2·95-6·75; p<0·0001) thethe model increased the C-index by 0·05 (95% CI 0·03-0·07).In this large patient-level meta-analysis, models using four or five predictors had acceptable to good discrimination.
In this study, we performed cross-validation to assess the goodness of fit of various semivariogram and spatial models using four major parameters: the average PE, SPE, RMSS, and SE of estimation.
For eve 2, we trained all possible linear models using four out of 38 regulators in the dataset (total 73,815 models), using the log likelihood of each fitted model as its score.
However, the Likelihood Ratio Tests (LRTs) to determine the fit of the models, using four separate tests (M0 vs. M2a; M0 vs. M3; M1a vs. M2a; and M7 vs. M8), to the data did not significantly differ from the chi-squared value (see Methods and Additional File 2, Table S2), indicating a false positive result.
26 27 To evaluate a potential non-linear dose-response relation, we fitted fixed effects restricted cubic spline regression models using four knots at the fifth, 35th, 65th, and 95th centiles of the exposure data and assessed significance of spline variables through hypothesis testing.
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Two application examples are given for the typical models using two fuzzy integrals, and comparative comments are made.
GIC for the Constant, AMK2003 and BGS2012 2D models using three electrojet locations are shown.
The software automatically positions the bone models using three consecutive algorithms: IIPM, DIFDHSAnn and DIFDoNLP.
Therefore, we estimated all of the GARCH family models using three different specifications for the mean equations.
One strategy to analyze such data is to generate gene network models using one of several analytical frameworks [1] [5].
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