Polynomial Lag-effect Modelling for Relationship between Particulate Matter and Respiratory Hospital Admissions,Brisbane,Australia
作者单位：School of Population HealthUniversity of QueenslandHerstonQLD4006Australia
会议名称：《第三届环境与职业医学国际学术研讨会》
会议日期：2004年
学科分类：12[管理学] 1204[管理学-公共管理] 120402[管理学-社会医学与卫生事业管理(可授管理学、医学学位)] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 10[医学]
摘 要：正 Although it has been highlighted recently that air pollutants usually have continuous impacts on health （i.e. lag-effects） , most of the studies were based on the assumption that relationship between environmental exposure and health outcomes is linear. However, the assumption may be invalid because the biological dose-response relationship is often curvilinear. This study aimed to develop a polynomial lag-effect model parametrically to estimate the association between particulate matter less than 10μmin diameter （PM10） and respiratory hospital admissions（RHA） .Two-stage generalized additive Poisson regression models were used. In stage I, nonparametric estimation was performed to discover an appropriate form of the dependence of RHA on