This lawsuit highlights our challenge — we must properly plan for and accommodate variance in remotely collected data, which we argue is a standard and well-known problem for any research data, whether it is collected in the hospital, clinic or at home.
When a SN receives a MOD message, its camera is invoked for ' Δ t' s and captures fixed-size MO images where Δ t affects the total ' shutter ON' time of camera for accommodating variance in expected arrival.
To minimize noise in the data and accommodate intersubject variance in fMRI activation, previous DCM studies have focused their analysis on a subsample of their total subjects (e.g., Stephan, Marshall, et al. 2007).
The Poisson regression model presented above is able to accommodate baseline variability (variance in the control event rates across studies).
We accommodated in the variance computation for the ORs the fact that each case subtype was compared with the same control population, that some controls later served as cases and the repeat selection of individuals as controls (Anderson et al, 2008).
From the above it is clear that although D was estimated at zero in the full model, it accommodated the variance that was previously ascribed to CT.
Also, when analyzing plaque productivity, the variance function varIdent (library nlme) was used to accommodate heterogeneity in variance among different top agar treatments [ 34].
As measurement error is accommodated in the nLGC model in the form of freely estimated residual variances, the predominance of unique environmental effects for the WMS parameter cannot simply indicate an abundance of noise in the psychometric measurement of WMS.
Global variability can be accommodated in this registration process, while subtle inter-subject variances were preserved, which makes it possible for the subsequent atlas performance comparison.
Recently, the most appropriate scheme to adopt has been a random parameters (or mixed) logit (RPL) model, which can accommodate differences in the variance of random coefficients.
In particular, the 'additive main effect, multiplicative interaction' models accommodate heterogeneity of variance and are characterised by a factor-analytic covariance structure.
