Model factors included TIME (baseline/follow-up), CITY (intervention/comparison), and a TIME by CITY interaction term.
Summarizing the conceptual model: multilevel factors including person, community, and state levels of influence are predictors of the odds of cancer diagnosed at an advanced stage.
CCM is an ecological model describing factors, including self-management support, that can improve functional and clinical outcomes.
The model considers factors including probe sequence, binding energies, and the expected degree of non-specific binding and hybridization to multiple genomic regions.
ESEM provided satisfactory indices of fit for the model of six factors, including modifications in four factors.
Investments are chosen based on a model driven by factors including historical performance, expense (fee) ratio, risk profile and asset allocation.
Models considered multiple factors, including aquifer stratification, anisotropy, evapotranspiration, surface topography (particularly slope breaks), seepage face formation and tidal loading.
The final model random factors included random intercept, and random slope for pain intensity.
In the multivariable model, risk factors included greater severity of baseline anaemia, lower time-updated MCV and AZT exposure.
Further, MDB is related to a variety of factors including stochastic model, functional model, geometry and testing parameters (Salzmann, 1991).
