作者: Francesca Dominici , Lianne Sheppard , Merlise Clyde
DOI: 10.1111/J.1751-5823.2003.TB00195.X
关键词: Estimation 、 Computer science 、 Sampling (statistics) 、 Demography 、 Research opportunities 、 Multivariate analysis 、 Exposure measurement 、 Air pollution 、 Environmental planning 、 Data limitations 、 Statistical model
摘要: Summary We critically review and compare epidemiological designs statistical approaches to estimate associations between air pollution health. More specifically, we aim address the following questions: 1 Which methods are available health? 2 What recent methodological advances in estimation of health effects time series studies? 3 main challenges future research opportunities relevant regulatory policy? In question 1, identify strengths limitations series, cohort, case-crossover panel sampling designs. In 2, focus on studies for: 1) combining information across multiple locations overall effects; 2) estimating taking into account model uncertainties; 3) investigating consequences exposure measurement error pollution; 4) pollution-health exposure-response curves. Here, also discuss extent which these contributions have addressed key substantive questions. 3, within a set policy-relevant-questions, point out current data limitations.