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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].
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On the Use of Linear Models Following a Sequential Design.
Focus is on experimental design and the use of linear models in testing hypotheses (e.g., analysis of variance, regression).
The use of linear models (2 × 2) still afforded retention time and resolution accuracies of <2.3 and 11% respectively.
2. Callibrate the satellite data against the Agricultural Inventory Data by first computing land area fractions from inventory data and use of linear models relating satellite data sets to agricultural inventory data.
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.
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.
Since the value was <3, the use of linear models was justified.
This core assumption is reflected in many ways, including the design of experimental sessions and the use of linear models for time series analysis.
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
In this light, the use of linear models for decoding may be criticized as too simple to capture non-linear interactions.
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