can be fixed Point 3 – A better model can have much better power Discussion Acknowledgements Data accessibility References Supporting Information The two most common approaches for analysing count data are to use a generalized linear model (GLM), or transform data, and use a linear model (LM)....
Data were analyzed using the mixed model, generalized linear model, and correlation procedures of the SAS statistical program (version 9.4; SAS Institute). Myofiber CSA, total myonuclear abundance, myonuclear domain size, Pax7+ satellite cell abundance, BrdU+ myonuclear abundance, and IGF system ...
I use GPU > CPU when I can frame an operation as a binary array operation (matrix additions and the like, NOT sorts). If I meet this criterion, is there a second criterion that says I should write my own CUDA code rather than doing everything inside Matlab and leveraging the built-in...
In the future, Automated Vehicles (AVs) may be able to use pedestrians’ head movement patterns to understand their crossing intentions. This ability of the AV to predict pedestrian crossing intention will improve road safety in mixed traffic situations and may also enhance traffic flow, allowing ...
(FRAP, ferric reducing/antioxidant power; CAT, catalase; SOD, superoxide dismutase; and GPx, glutathione peroxidase) between night (dark grey) and day (light grey) workers, using Generalized Linear Model (GzLM) test, adjusted for age and working hours. *p < 0.05 and **p < 0.01 ...
Elucidating how ancestral behavioural traits have been repurposed for psychological and social functions is critical to advancing our understanding of human behavioural evolution. Self-scratching, originally a hygienic response and known to exhibit social contagion, serves as a model for this process. Alt...
In our primary analyses, we used generalized linear model regressions with a gamma distribution and log link to examine OOP costs and their association with reaching age 65 years. We also used quantile regressions to examine the associations of reaching age 65 years with the 95th percentile of ...
(1 = present, 0 = absent). Data were then analyzed using generalized linear models (McCullagh & Nelder,1989). Models included fixed effects of condition (plagiarismvs.other cheating) and decision to report. Models used logistic link functions and binomial error distributions, and hypotheses were...
The hour of the day cannot be discretised as a single variable in a linear ARX model, because the relationship would be fixed as a constant for every hour.3 To perform the forecasts at a specific time-step (t) and forecasting horizon (h), the models are first fitted on the training ...
Intensity normalisation and high-pass temporal filtering (using a filter width of 128 s) were also applied to the data. Generalized linear model. For the primary whole-brain analyses, two modelling approaches were used. In the first approach, trials from each of the sympathy and no-sympathy...