Imputing missing data with statistical-learning estimates: impacts on mortality risks attributable to area- and source-specific PM2.5.

Missing observations of particulate matter (PM2.5) can distort exposure data, thereby modifying associated mortality risks. This study assessed whether imputing missing data with statistical-learning estimates reduces such modifications. Two types of hourly PM2.5 datasets were used: PM2.5 from 25 di