linear model

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linear model

A simplistic model that proposed that a single cell’s responses to an external stimulus reflected a summation of the intensity values in the stimulus. Considering the complexity of pathways and cascades which are triggered by any form of stimulation of living cells, this model warrants deletion.
References in periodicals archive ?
Study Details Researchers used hierarchical linear modeling to determine odds ratios between birth defects and semen parameters on data collected from the Baylor College of Medicine Semen Database (BCMSD).
This study investigated gender differences within-families using multilevel linear modeling.
The determination of strength ratios based on knot size can be viewed as a linear modeling problem.
Although they are becoming increasingly important, contemporary methods of applied statistics, including generalized linear modeling, mixed-effects modeling and Bayesian statistical analysis and inference, are not always in the natural resource scientist's toolbag.
Hierarchical linear modeling (HLM), as a multi-level technique, is specifically designed to overcome the weaknesses of the disaggregated and aggregated data analysis methods discussed above.
In this article, the hierarchical structure is considered in a method entitled hierarchical linear modeling (HLM).
Using a 45-parameter model, the NN modeling showed significantly better results than linear modeling when the number of test points was less than 62.
Rutherford's research interests include encoding and retrieval processes in recall and recognition and the effect of mild head injury on cognition, as well as general linear modeling.
After reviewing the basic syntax of the R language for data analysis, this reference explains the R functions for calculating a variety of statistical techniques spanning all the way from elementary classical tests, through regression and analysis of variance and generalized linear modeling, up to spatial statistics, multivariate methods, tree models, and time series analysis.