Sentence examples for models with compound from inspiring English sources

In this work, contour maps were calculated using the PLS analysis (StDev * Coeff) and the contour plots of 3D QSAR models with compound 14 as the template are shown in Fig. 4.

We used repeated-measures models with compound symmetric variance structure for the outcomes over years 3 5.

*Estimated by using generalised estimating equations logistic regression models with compound symmetry with sex, age, educational level, long acting bronchodilator use, and inhaled corticosteroid use as covariates.

24 We estimated differences in exacerbation management by using generalised estimating equations logistic regression models with compound symmetry and exacerbation as the unit of analysis.

The use of the Ins2 promoter to drive Cre expression led to mouse models with compound genetic recombination in the islets and brain, leading to complicated interpretation of the phenotype of mice used [ 16].

Medulloblastoma is a malignant paediatric cerebellar tumour that can arise from cerebellar granule cell progenitors (GCPs), as shown by conditional mouse models with compound homozygous mutations in Rb and Trp53 (Marino et al., 2000) or heterozygosity in patched1 (Ptch1) (Schuller et al., 2008; Yang et al., 2008).

Combining a continuous model with compound power series class: For the second recent trend on compounding, one continuous lifetime model is compounded with the power series class of distributions truncated at zero.

To compare ADR incidence between hospital wards, a generalised estimating equation (GEE) [22] model with compound symmetry was used to account for the within-patient correlation.

Furthermore, this kind of retrospective study is cheap and less time consuming; (3) flexibility: It is easy to integrate the model with compound action mechanisms or patterns such as, for example, the NCI 60 in vitro cell line screening data used in this study.

Linear regression models for unbalanced repeated measures (mixed model with compound symmetry correlation matrix) were constructed to determine the effect of time on caregiver quality of life.

A mixed linear model with compound covariance structure was used to compare geometric mean immunogenicity readings between baseline and post-immunization for antibody, ELISpot and ICS responses, adjusting comparisons between baseline and post-immunization using Dunnett's method.