The main effect plots were used to plot data means when multiple factors are involved in the system/process and also to compare magnitudes of marginal means.
McLeod [ 33] suggests that the nature of longitudinal data means that multiple theoretical frameworks may be useful to analyses and interpretation and the use of different paradigms may lead to new insights and interpretations.
But doing so means managing multiple data regimes.
As we wrote in January in our GDPR explainer: "[S]ome US companies might prefer to swallow the hassle and expense of fragmenting their data handling processes… But doing so means managing multiple data regimes.
By triangulation they mean examining multiple data sources to validate results, increase credibility and gain a more detailed understanding of findings [ 2, 3].
We used general estimating equations (GEE) to take into account possible intra-individual 'dependencies' or 'auto-correlation' (SAS Version 9.0, Cary, NC, USA) because many women contributed multiple data points to the analysis (mean 3.4, s.d. 1.4).
The representation of 2-ΔCT is therefore a useful means for the visualisation of multiple data sets.
For the cell proliferation, western blot, and PCR statistics, we computed the mean and standard deviation of multiple data points.
Data means were subjected to analysis of variance and separation was achieved by Duncan's multiple range test (DMRT).
