EPA Particulate Matter Data -- Analyses using Local Control Strategy

Analyses of large observational datasets tend to be complicated and prone to fault depending upon the variable selection, data cleaning and analytic methods employed. Here, we discuss analyses of 2016 US environmental epidemiology data and outline some potential implications of our Non-parametric and Unsupervised Learning perspective. Readers are invited to download the CSV files we have contributed to dryad and apply the analytic approaches they think appropriate. We hope to encourage development of a broad-based "consensus view" of the potential effects of Secondary Organic Aerosols (Volatile Organic Compounds that have predominantly Biogenic or Anthropogenic origin) within PM2:5 particulate matter on Circulatory and/or Respiratory mortality. The analyses described here ultimately focus on the question: "Is life in a region with relatively high air-borne Biogenic particulate matter also relatively dangerous in terms of Circulatory and/or Respiratory mortality?"