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 the analysis of 2016 US environmental
epidemiology data and outline a new “benchmark” Non-parametric and
Unsupervised analysis of these data. Readers are invited to download our
CSV file from the archive and apply whatever analytic approach they think
appropriate. We hope to encourage the development of a widely-held
“consensus view” on the 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. For example, the reanalyses described here focus on the
question: “Can life in a region with an abundance of trees be relatively
dangerous?”