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Our specification of the model includes variables typically employed in the literature (Dang et al. 2014; Cruces et al. 2011), plus statistically significant variables at the regional level.
The regression model includes variables that capture the heterogeneity of agriculture production, such as household socioeconomic characteristics, farm structure, and farming system.14This is because the sole purpose of these regressions is to describe the profile of pro-poor technological changes at the household level.
a The multivariate model includes variables for which p < 0.10 by univariate analysis.
Thus, the Detroit model includes variables to account for proximity to industrial facilities that either presently or historically emit lead.
Second, the Wells-Riley model includes variables for environmental conditions and aerosol production rates not accounted for in the Druett model.
The final model includes variables that were associated with HIV infection at p < 0.05 level or were considered to be salient confounders, such as age.
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This model includes variable blade-positioning angle β, the trajectory-shape coefficient CF, and the wind orientation angle φ.
This model includes variable cost factors, such as, transportation cost (equivalent energy content) as a function of distance, ash and moisture handling cost, and other miscellaneous costs.
However, a combined model including variables from both theoretical approaches accounted for the most variance in help-seeking behavior.
A multivariable logistic regression model included variables whose associations with vaccination decisions were statistically significant, defined as p<0.05.
aThe model included variables with statistical significance only.
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model including variables
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