type="main" xml:id="rssc12056-abs-0001" <title type="main">Summary</title> <p>We propose a method for assessing variable importance in matched case–control investigations and other highly stratified studies characterized by high dimensional data (pn). In simulated and real data sets, we show that the algorithm proposed...</p>

We conduct a case-study evaluating the source-specific effects of particulate matter on respiratory function. Using a structural equation approach, we assess the effect of different receptor models on the estimated source-specific effects for univariate respiratory response. Furthermore, we...

Traffic particle concentrations show considerable spatial variability within a metropolitan area. We consider latent variable semiparametric regression models for modelling the spatial and temporal variability of black carbon and elemental carbon concentrations in the greater Boston area....

We propose a Bayesian model for physiologically based pharmacokinetics of 1,3-butadiene (BD). BD is classified as a suspected human carcinogen and exposure to it is common, especially through cigarette smoke as well as in urban settings. The main aim of the methodology and analysis that are...