However, biomarkers are subject to measurement error, and some are also subject to left-censoring due to a lower limit of detection. Statistical methods to address these issues are few. We herein propose a generalized linear mixed model and estimate the model parameters using the Monte Carlo ...
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 ...
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 ...
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 ...
On food not treated with pesticide (control—CONT bioassay), a significant difference between bee survival curves in the presence or absence of the mite was observed, as of the seventh day of the introduction of the mite in the experimental units (Generalized linear model (GLM); P <...
(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 ...
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...
(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...
FromChristopher Baum <kit.baum@bc.edu> To<statalist@hsphsun2.harvard.edu> Subjectre: st: When to use ML or bootrapping DateTue, 30 Nov 2010 10:14:52 -0500 Follow-Ups: RE: st: When to use ML or bootrapping From:Amy Dunbar <Amy.Dunbar@business.uconn.edu>...
use their body representation in a spatial task where they could choose from more than one solution. We can assume that when dogs face for the first time the open door, they assess it according to their representation about their own size, then decide whether to go straight ahead and do ...