Sentence examples for model estimation procedure from inspiring English sources

Between and within patient variability was estimated as part of the model estimation procedure in NONMEM.

In the non-compartmental analysis, the level was estimated based on pre-dose FVIIa coagulant activity levels and subtracted from the post-dose measurements; in the population analysis, the level was included as a subject specific random effect and estimated as part of the model estimation procedure.

The stepwise model estimation procedure is chosen because the total number of potential models is computationally prohibitive.

We parameterized the model using a binomial response distribution, logit inverse link function, and constant subject-specific random effect (detailed information on the model, estimation procedure, and code are available upon request).

As several of these (independent) variables are expected to explain the same part of the variance in the total SSS volume between countries (dependent variable), a stepwise model estimation procedure has been used.

We report 90 and 95% confidence intervals for the odds ratios as well and assess the statistical significance of our results.2 See Appendix C for details on the model estimation procedure.

For subsequent Bayesian analysis, we used MrModeltest [54] instead; similar models were generated for each locus by both model estimation procedures.

This is mainly due to the fact that the model parameter estimation procedure relies on iterative processes.

Parallel formulations of the SAR model parameter estimation procedure based on ML theory are probed using data parallelism with load-balancing techniques.

The standard errors of the biomass change estimates for the respective change categories were reduced by 18 84% compared to the pure field survey when using LiDAR data as auxiliary information in a model-assisted estimation procedure, which translates to a need for 1.5 38.7 times as many field plots when relying only on the field data.

Values below the instrumental limits of detection (LOD) were imputed using a parametric model-based estimation procedure (Lubin et al. 2004).