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The statistical analysis was based on panel data facility-level fixed-effect model which examined how the change of opt-out status affected changes in outcomes while removing facility-level time-invariant unmeasured confounders.
In a formal statistical analysis, we used a linear model, which examined jointly all single factors and selected interactions (see Materials and Methods).
The coefficients of the fitted overall model which examined the data over the first four nights are given in the Table 2. Figure 4A shows the fitted model as dose-response curves for an "average" mouse, whereas Figure 4B plots the time-dependent curves for each mouse separately.
The multivariate model which examined the lack of data for computing DALY included BMD and the number of risk factors for osteoporotic bone fracture (% of right classification 85.6%) which were also tested in this study to estimate the relation of risk factors for participants with undiscounted and discounted DALY.
In the second multivariable model which examined predictors of secondary infection in contacts, preschool cases aged 0 3, those in junior classes in primary school aged 4 5 years, and those in large households were more likely to transmit (both symptomatic and asymptomatic) infection.
Since then, consequences of missense mutations have also been tested in vivo in a C57BL/6J mouse model, that is, a substrain of the C57BL/6 or "black 6" mouse model, which examined the subcellular localization of the mutant protein in the liver [ 20, 21].
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Here we present a basic ecological disease model which examines the rôle feedback loops may play in the spread of BSE and related diseases.
Therefore, we built a model which examines the effects of artificially structured landscape patterns on species richness (α-, β-, γ-diversity).
The simulation model which examines the dynamic behavior of real structures needs to address the impact of uncertainty in both geometry and material parameters.
The longitudinal model, which examines the cross-age correlations as well as the within-age correlations, has more power to discriminate between additive genetic and shared environmental factors than the cross-sectional models, which only examine the within-age correlations.
The only exception was in the model which examines the factors correlated with the burden of OOPE, where the specific combination with HBP, arthritis and diabetes was also significant (Table 8).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com