A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
刻画空间异质性暴露—滞后—响应关系的分布滞后非线性混合模型
Environmental exposures, such as air pollution and extreme temperatures, have complex effects on human health. These effects are often characterized by non-linear exposure-lag-response relationships and delayed impacts over time. Accurately capturing these dynamics is crucial for informing public health interventions. The Distributed Lag Non-Linear Model (DLNM) is a flexible statistical framework for estimating such effects in epidemiological research. However, standard DLNM…