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 consider a multivariate random effects model for clustered binary data that is useful when interest focuses on the association structure among clustered observations. Based on a vector of gamma random effects and a complementary log-log link function, the model yields a likelihood that has...

Time series arise often in environmental monitoring settings, which typically involve measuring processes repeatedly over time. In many such applications, observations are irregularly spaced and, additionally, are not distributed normally. An example is water monitoring data collected in Boston...