Sentence examples for model a forward from inspiring English sources

In order to build the model, a forward stepwise variable selection approach was used to add the a priori defined clinically important variables including age, gender, ethnicity, CCI, DCSI, nephropathy, serum creatinine >2.0 mg/dL, HbA1c, year of presentation and variables with P < 0.20 between the metformin non-users and users.

While this strategy was effective in shaping an all-inclusive model, it was primarily designed to model a forward pathway in which input parameters were declared and the algorithm calculated the output (mRNA production).

To form a parsimonious SEM model, a forward variable-selection procedure was performed using the normalized intensity values for each probe and the eight expected haplotype contributions for the most significant marker interval of the probe.

To eliminate any ordinal variation in the model, a forwards and backwards stepwise multivariate regression model was constructed to estimate variables associated with knowledge score (analysed as a continuous variable).

Computing an inverse model from a forward model is a technique used for industrial plant control [33] and has already been applied to motor control [12], [34], however, the proposed circuits were hardly biological plausible.

This model is a forward model and has a delay structure that postpones the sensorimotor predictions for regulating the sensorimotor outcomes.

Variables, which were associated with the outcome (p<0.10) using Wald tests for trend, were entered into a multivariable model using a forward stepwise model selection strategy.

Do-Hyuk Kang changed the snow physics to include multiple layers and linked the model to a forward microwave emission model (Kang and Barros, 2011a and 2011b, IEEE TGARS).

Then, the inversion result is considered as the input source model for a forward ground motion simulation.

Exact logistic regression was used for multivariable modeling using a forward stepwise model building approach.

We built the final model using a forward stepwise approach, adding each factor significant at the level of 0.1 in the model one by one.