Table 1 Feature variables used to generate the multivariate table
From: Causal analysis for multivariate integrated clinical and environmental exposures data
Feature variable | Variable definition and enumeration |
|---|---|
Sex | Male (0), Female (1) |
Race | White, Black African American, Asian, Native Hawaiian/Pacific Islander, American/Alaskan Native, Other, Unknown |
Prednisone | Common medication for asthma-like conditions (1 = Yes, 0 = No) |
Obesity | Diagnostic code for obesity anytime over ‘study’ period (1 = Yes, 0 = No) |
Airborne particulate exposure | Abbreviated herein as “PM2.5Exposure”. US Environmental Protection Agency estimated maximum daily exposure to particulate matter ≤ 2.5-microns in diameter over ‘study’ period, binned using pandas.cut |
Roadway exposure | Abbreviated herein as “RoadwayExposure”. US Department of Transportation estimated distance in meters from residential household to nearest major roadway or highway (1 = 0–49, 2 = 50–99, 3 = 100–149, 4 = 150–199, 5 = 200–249, 6 = ≥ 250 m) |
Residential density | Abbreviated herein as “EstResidentialDensity”. US Census Bureau American Community Survey 2007–2011 estimated total population [block group], binned according to US Census Bureau definitions |
Emergency Department or inpatient visits | Abbreviated herein as “TotalEDInpatientVisits”. Total number of emergency department or inpatient visits for respiratory issue(s) over the ‘study’ period (0, 1, 2, 3, …) |