Sentence examples for use of linear models from inspiring English sources

The study of stressor interactions by eco-toxicologists using nonlinear response variables is limited by required amounts of a priori knowledge, complexity of experimental designs, the use of linear models, and the lack of use of optimal designs of nonlinear models to characterize complex interactions.

This core assumption is reflected in many ways, including the design of experimental sessions and the use of linear models for time series analysis.

In this light, the use of linear models for decoding may be criticized as too simple to capture non-linear interactions.

By applying the linear regression, the average R-square values of Intra-MB's and Inter-MB's models are and respectively; so the use of linear model should be appropriate.

Nonparametric methods provide alternative statistical methodology when assumptions necessary for the use of linear model-based methods fail as well as provide procedures for making inferences when the scale of measurement is ordinal or nominal.

We assessed differential expression of probes with the use of linear modelling and empirical Bayes methods as implemented in the LIMMA package to include the effects of gender, genotype and underlying interactions [ 26, 68].

We used GEE augmentation of linear models to determine the effects of age and genotype on PON1 activity in children (Table 3).

†Pre-removal time points used in modelling; predictions for 2008/09-2010/11 indicate good fit of linear models used.

The rationale for use of linear models is presented in the Supplemental Material (online at http://www.ehponline.org/members/2008/10497/suppl.pdf).org/members/2008/10497/suppl.pdf

Since cow age may be a confounding factor influencing the relationship between reactor status and genotype, we next repeated the GEPHAST analysis using a program written in R that allows use of general linear models as a test of association.

Each of the secondary outcome measures will be analysed with analysis of covariance through the use of generalised linear models (the data distribution and link function being dependent upon the outcome under consideration).