Selected article for: "Categorical variable and observational study"

Author: Xiao Wu; Rachel C. Nethery; Benjamin M. Sabath; Danielle Braun; Francesca Dominici
Title: Exposure to air pollution and COVID-19 mortality in the United States
  • Document date: 2020_4_7
  • ID: 2q6qmex3_14
    Snippet: • First, we repeat all the analyses using alternative methods to estimate exposure to PM 2.5 . 26 • Second, because our study relies on observational data, our results could be sensitive to modeling choices (e.g., distributional assumptions or assumptions of linearity). We evaluate sensitivity to such choices by conducting analyses: ○ Treating PM 2.5 as a categorical variable (categorized at empirical quintiles) ○ Adjusting for population.....
    Document: • First, we repeat all the analyses using alternative methods to estimate exposure to PM 2.5 . 26 • Second, because our study relies on observational data, our results could be sensitive to modeling choices (e.g., distributional assumptions or assumptions of linearity). We evaluate sensitivity to such choices by conducting analyses: ○ Treating PM 2.5 as a categorical variable (categorized at empirical quintiles) ○ Adjusting for population density as a categorical variable (categorized at empirical quintiles) ○ Using a negative binomial model without accounting for zero-inflation.

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