Environmental exposure
lung cancer
LUNG CANCER, REGRESSION
To address the 2nd objective, environmental data will be obtained, with a focus on air pollution that has demonstrated robust associations with risk of lung cancer. The following measures will be assessed: year average exposure (2000–2019) to particulate matter [with aerodynamic diameter ≤ 2.5 and ≤ 10 μm; particulate matter (PM)2.5 and PM10], ultrafine particles (≤ 100 nm), soot (i.e., PM2.5 absorbance), and nitrogen dioxide (NOExposure to air pollution, as a measure of environmental risk, at the home address will be assessed. The collinearity of potential predictors will be evaluated and penalized regression as well as Bayesian multi-pollutant mixture modelling will be applied to estimate joint health effects. The predictive power of the environmental risk score for lung cancer and survival will be evaluated using Area Under Precision-Recall Curve (PR AUC).