The model provides the basis for further formal and experimental analyses through model-based predictions.
Predictive validity will be estimated through a series of regression analyses (hierarchical model) in predicting depressive symptoms (BDI), pain behaviour (TBS), pain intensity (NRS) and disability (RMD).
All analyses were conducted through path models in Mplus which allows for the use of sampling weights, adjusts for complex sample designs, and includes procedures for handling missing data (Muthén and Muthén 2006).
Low energy balance closure (EBC) at a particular eddy-covariance flux site has increased the uncertainties of carbon, water, and energy measurements and has thus hampered the urgent research of scaling up and modeling analyses through site combinations in regional or global flux networks.
Paleontologists routinely utilize field methods, laboratory techniques, computers analyses, mathematics, and theoretical models in their research.
We performed multivariate analyses through linear regression models.
The analyses are calibrated through modeling the behavior of GECs used in a ground reclamation project in Hamburg, Germany.
The intrammary S. aureus challenge was analysed with linear mixed models in SPSS 22 (IBM).
In this paper, a case study based on the AD B is analysed through evacuation modelling.
In practice, evidence of conflict between the two sources and the potential for unaccounted sampling and ascertainment biases in both the serological testing data (Miller et al., 2010, and response) and clinical case estimates (Evans et al., 2011) was explored through sensitivity analyses explicitly modelling the biases in Presanis et al. (2011).
Simonetta and colleagues circumvented this limitation by analysing through in vitro measurements and modelling a simplified spindle assembly checkpoint signalling system that includes a few basic reactions (Simonetta et al, 2009).
