Sentence examples for beta parameters from the from inspiring English sources

We also calculated the overall value of alternative priming strategies, using the utility functions and beta parameters from the models, the characteristics of the services as they would be delivered in clinical practice, and representative patient characteristics.

For each participant, the magnitude of activation for the different conditions in each ROI was determined by averaging the relevant beta parameter from each participant's fitted beta estimates from the general linear model.

For those type2 probes assigned to the U-state, transform their probabilities of belonging to the U-state to quantiles using the inverse of the cumulative beta distribution with beta parameters estimated from the type1 U component.

For those type2 probes assigned to the M-state, transform their probabilities of belonging to the M-state to quantiles using the inverse of the cumulative beta distribution with beta parameters estimated from the type1 M component.

Alpha and beta parameters were calculated from standard deviations of the actual data.

The beta parameter is the directional change parameter of model B. Figure S1.

The overall value based on patient characteristics and beta parameter values (from Table  6) for outpatient priming was 3.63; for enhanced inpatient priming was 3.59, and for basic inpatient care was 2.89; indicating that outpatient primary was slightly more preferred than enhanced inpatient priming for the typical respondent in our survey.

Key: β, Beta coefficients are the regression parameters from the overall linear models (bi-variate and multi-variate analyses).

In our simulation experiment we estimate parameters from the beta regression model via standard maximum likelihood (ML) methods, as well as the bias-reduced (BR) and bias-corrected (BC) methods.

The free parameter (beta) stems from the fact that the nullspace of the matrix is one dimension.

On the other hand, the slope parameter (beta estimate) from the model quantifies the size of the effect, allowing one to ascertain how changes in progression effects will translate into changes in survival effects.