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The access domain was also found to predict access to primary care only with moderate accuracy.
The blood/brain partition coefficients (log B/B) were computed and used to predict access to the central nervous system (CNS).
From the results, it was found that the four independent variables moderately predict access to finance in SMEs (adjusted R squared = 0.703).
For example, in [12], the authors used FM-spaces in order to predict access histories working on variations of the fuzzy construction.
The aim of this field study is to examine the ability of the HoNOS-F to predict access to psychiatric care, use of services and mental health outcomes.
In my core regressions I include a set of personal characteristics that are expected to predict access to employer-sponsored health insurance: age at school-leaving, years of education at school leaving (entered linearly), race/ethnicity (African American and Hispanic, with White as the omitted group), and a proxy for ability (a quadratic in the Armed Forces Qualification Test [AFQT]).
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Further analysis by multivariate binomial logistic regression identified factors predicting access to antiretroviral therapy.
Furthermore, our analysis sought factors predicting each cause of death category using multinomial logistic regression analysis and factors predicting access to antiretroviral therapy using binomial logistic regression analysis.
For instance, we observed that the LICO only predicted access significantly within the medium and high exposure zones and not the low exposure area.
Univariate analysis for predicting access to antiretroviral therapy included age, gender, race, CD4 count category, and time of HIV test compared with TB diagnosis.
We observed that the low income only predicted access significantly within the medium and high exposure zones and not the low exposure area.
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CEO of Professional Science Editing for Scientists @ prosciediting.com