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Similarly, (h_j^{(t)}), (u_i^{(t)}) are the j-th hidden layer unit and the i-th visible layer unit of the model at step (t) of the Gibbs sampling procedure.
The main effects model at Step 3 accounted for 30.4% of the variance in parent-reported SDQ difficulties scores.
The main effects model at Step 3 accounted for 19.7% of the variance in teacher-reported SDQ difficulties scores.
Only those variables for which there was a significant difference in intention scores were added to the regression model at step 4.
When country of residence is entered into the model at step 2, β = −0.08 suggesting that, within each sample, drinking is negatively associated with age.
Both variables were therefore included in the regression model at step 4. The other five variables in table 4 were excluded.
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In other words, each model fitted at step 2 expanded the multivariable Cox's PH model built at step 1 by estimating and testing time-dependent and non-linear effects of a single predictor.
Table 5 shows the estimated model parameters at step 1 of the logistic regression with only Southampton included, and also those for the logistic regression with Southampton already in the model and the variable Single entered as the next most significant predictor, with a p value of 0.055.
The active rate of Nrr, P NRR is changed from 0 to 0.5 (a rate equal to those of the other ribozymes in the model) at a step before the Nrr gene begin to fade away (step 0.7 × 10 in the case shown in Fig. 1a).
The adequacy of the model at each step was carefully assessed using experimental data drawn from the literature.
A monitored and controlled system is described by a discrete-time linear stochastic model at each step of a finite time horizon.
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Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com