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We used a bivariate probit model with selectivity correction to estimate the correlates of participating in PA and meeting the recommended level, given participation.
Selection bias is suggested if the correlation coefficient between the error terms of the two equations of the bivariate probit model with selectivity correction is found to be statistically significant.
Figure 6 shows that increased AUC performance and selectivity values were obtained by lowering the cut-off value compared to the reference model, with selectivity indexed for the reference model.
In practice, the bivariate probit model with selectivity correction is estimated using first, a probit model of the probability that an individual participates in PA (Yp): (1) where β1, a vector of variables affecting the decision to participate in PA; e1, the error term.
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Therefore, we also ran the model with sigmoid selectivity, U T (L), at the feeding grounds and bell-shaped selectivity, U G (L), at the spawning grounds, both with Lmax = 90 cm, to see how a fishery with mixed gear types compares to fishing with only one gear type.
A variance analysis for the calculation of accuracy characteristics and stepwise procedure for the selection of mathematical models with successive selectivity optimization were realized.
Homogeneous vanadium catalysts have previously been shown to effectively cleave dimeric β-O-4 model lignin compounds, with selectivity for CC or CO cleavage, or benzylic oxidation, depending on the ligand structure and oxidation state of the metal.
Fig. 1 A single dose of AZD8186 (50 mg/kg) shows tumour growth inhibition in PTEN mutated models of cancer with selectivity against PI3Kα.
We used cross-validation to compare two models: a linear mixed selectivity model and a non-linear mixed selectivity model with interaction terms designed to capture the responses of neurons tuned to large, dark, moving spots, which may or may not also display direction selectivity and/or speed tuning.
Methods: Using the Health Survey for England 2006, (n = 14 142; ≥16 years), gender-specific regression models were estimated using bivariate probit with selectivity correction and single probit models.
And then the higher-order circuit model with the improved frequency selectivity is established based on the proposed BTSE PD.
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