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We compare how different factors can explain the variance of shared fear in different cities by using linear models.
The parameters a 1 … a m describing the overall activation of the various sub-networks can then be extracted by using linear models to fit the data.
Differential expression of genes due to the photoperiodic switch and post-diapause morphogenesis is then assessed by using linear models to test for transcripts that display a significant interaction between population and day (0 or 6) of experiment.
Differential expression was assessed by using linear models and empirical Bayes moderated F-statistics [ 41].
Differential expression between sample sets was determined by using Linear Models for Microarray Analysis (LIMMA) [ 27].
Detection of differential expression was carried out by using linear models and specifically the empirical Bayes methods [ 37] implemented in the R/Bioconductor package 'limma'.
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In order to better analyze the CD4 cell count kinetics, we estimated the slopes of square-root CD4 T-cell counts by using a mixed-effects linear model.
The relationship of VT to AH were analyzed by using linear model for each circuit-RR combination.
Data were analyzed by using linear model for repeated measurements and are presented as mean (standard error).
The relative effect of vitamin C administration on FEV1 was analysed by using linear modelling for two studies that reported full or partial individual-level data.
Differential gene expression between experimental and control samples was determined by using linear modeling as implemented in the R/Bioconductor package "limma".
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