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Overlap between treatment groups was explored mostly through standard tests that assess heterogeneity, although in studies where regression analysis was employed, balance between groups was sometimes investigated using models that assessed whether significant interactions were present between treatment and covariates.
Once the human judgments had been determined and the similar and non-similar molecular-pairs identified, it was possible to develop logistic regression models that assessed how fingerprint-based similarities were correlated with the probability of being considered similar by the majority of the experts.
The analysis was performed based on three analytical models that assessed the effects of type specific immunity.
For models that assessed a 30-day lag, spline knots were placed at 2, 3, 5, and 10 days.
Patient race/ethnicity was the main explanatory variable for multivariable models that assessed predictors of risk factor control and treatment intensification.
The regression coefficients were obtained from separate multivariate logistic regression models that assessed the relationship of either frequent mental distress (FMD) or obesity to the chronic disease and included age, sex, race/ethnicity, and education as covariates.
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Fidel is evaluating and developing models that assess a helmet's ability to reduce mild brain injury.
These all serve as predictive or control variables in analytical models that assess which factors are associated statistically with the desired health behaviors.
They include demographic models that assess the impact of management on the rate of population growth or risk of extinction, analyses of occupancy using presence-absence data, population trend analysis, and genetic models that assess the loss of genetic diversity.
The development of environmentally and economically sound long term agricultural practices under changing climate conditions at the field scale requires implementation of predictive models that assess short and long term responses of agricultural systems to changing environmental conditions.
Further research should cover the thematic and methodological gaps identified in this paper, such as developing models that assess complex urban issues, generating comprehensive LCT studies and promoting multi-indicators.
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