Sentence examples for a one-part model from inspiring English sources

In addition to the main analysis based on a one-part model, a two-part multivariate model was fitted in order to assess if the choice of the €1 additive factor in the cost per month affected the results.

This is the second-part model including patients with use > 0. The sample size for one-part model is 15,520.

For nutrients that are assumed to be ubiquitously consumed the probability part of the model was not needed, and the one-part model was used.

s=significant in parts 1 and 2 of the two-part model or in the one-part model; s1=significant in part 1 of the two-part model; s2=significant in part 2 of the two-part model; ns=not significant.

Another effect of the stepwise approach was a slight difference between SHI expenditures and expenditures for the social security system derived from the one-part model and the sum of mean expenditures in the associated expenditure categories.

Odds ratios (ORs) for probabilities of using health services (i.e. of not providing zero cost) were then estimated; ii) the second part estimated the total accumulated costs, conditional on incurring any cost, by using the same set of three models applied in the one-part model group and described above.

In multivariate analysis, one-part models and two-part models of utilization and costs were run.

One-part models were run for outcomes that had few observations with zero use (e.g., primary care, total outpatient, and overall care).

The ubiquitous model fits a one-part nonlinear mixed model that incorporates only the amount consumed into the estimation of usual intake, while the episodic model fits a two-part mixed model that incorporates both the probability of consumption and the amount consumed in estimating the usual intake distribution.

Finally, the one part model ignored the information related to the zero costs observations.

The pattern of estimated coefficients was similar to that obtained through the one part model, with the loglinear model showing higher estimated cost.