Selected article for: "linear regression model and regression model"
Author: Cai, Weiqin; Li, Chengyue; Sun, Mei; Hao, Mo
Title: Measuring inequalities in the public health workforce at county-level Centers for Disease Control and Prevention in China
  • Document date: 2019_11_21
    • ID: 0yiek4bg_16
    Snippet: A regression analysis was conducted to understand the contextual factors that might affect the within-group and between-group inequality of PHWs. This regression analysis was only performed for the municipal level. All 333 municipal-level CDCs were included in the fitted linear regression model. In the model, the inequality values between and within the three PHWs were taken as dependent variables. Since the decomposition value of the Theil index.....
    Document: A regression analysis was conducted to understand the contextual factors that might affect the within-group and between-group inequality of PHWs. This regression analysis was only performed for the municipal level. All 333 municipal-level CDCs were included in the fitted linear regression model. In the model, the inequality values between and within the three PHWs were taken as dependent variables. Since the decomposition value of the Theil index can have both negative and positive values, we transformed the between-municipality and within-municipality inequality values to only positive values from 0 to 1. The higher the value of the transformed variable, the higher the share of PHWs. We used the following formula used in similar studies to make this transition: Theil Transformed = (actual value−minimum value)/ (maximum value−minimum value) [10] .

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