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Relationships between each life-history and metabolic traits were studied by linear regression using, as we did for correlations, the average trait value for each strain in each glucose condition and taking into account the genetics relationships between strains.
Pairwise t-tests between the means for each life history class were estimated using a Tukey-Kramer adjustment for the multiple comparisons.
We utilized three separate analyses: (1) a GLM regression approach to find clusters of genes differentiated through time (maSigPro) (Conesa et al. 2006); (2) edgeR to find genes most highly expressed in each life stage relative to all others; and (3) edgeR to find genes differentially expressed in each transition between life stages (Robinson et al. 2010).
Evidence suggested an overall relationship between life course socio-economic position and quality of life during adulthood, but results for each life course model were mixed.
We performed linear regression analyses, beginning with bivariable associations between each early life and adult factors and each measure of repetitive element methylation.
Ecdysteroid 20-hydroxyecdysone (ecdysone) is a moulting hormone that regularly surges between each moulting life stage, with the largest peak occurring at puparium formation (supplementary material Fig. S1).
It sums up my life, your life, his life, her life, everyone in-between's life.
We encounter many in-betweens in life.
The study was not intended to investigate prevalence, prediction rules or associations between each of the life impacts.
A backward multiple linear regression model was constructed to establish the relationship between each quality of life domain and the variables related to adherence, controlling for covariates.
A multiple linear regression model was constructed to establish the relationship between each quality of life domain and the variables related to adherence, controlling for covariates.
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