To model neighborhood characteristics, we also employ data from both the 2000 and 2010 Census, as well as the 2007 to 2011 5-year estimates of the American Community Survey.
To determine reserve site configurations that provide highest persistence values with respect to their connectivity characteristics, we model nine connectivity topological models derived from graph theory in a demographic metapopulation model.
After Cox model adjustment for baseline characteristics, we also saw an increased risk for death in tight control groups compared with usual control groups.
In the multivariable model that excluded GP characteristics, we found that GPs with correct knowledge about treatment during pregnancy had lower chlamydia testing rates.
Model characteristics were similar when we assigned a predicted probability of 1 for participants who met a pre-specified claims-based definition of high risk for CHD events, and assigned model-based predicted probabilities otherwise.
After analyzing covariation in beliefs and sociodemographic characteristics, we modeled multivariate associations among beliefs, nonadherence (due to either cost or other reasons), and key medical outcomes.
In order to compare the null model characteristics of the specialization measures, we simulated artificial matrices with randomly associated partners and plotted the indices against an increasing number of partners and/or total number of interactions.
We also model characteristics of survey respondents and respondents' exposure to CGPP, communication activities against their children's receipt of key vaccinations in order to identify determinants of routine immunization coverage.
Hence, to handle biases from the unobserved characteristics, we used the model introduced by Greene (2010).
Since home country conditions, language and culture may influence the returns to human capital characteristics, we estimate the model separately for those from English-speaking and non-English-speaking countries (Manning and Roy 2010; Constant et al. 2012).
