amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to … compute the overlap in data sets which are commonly fitted by logistic regression models. The overlap is the number of … observations that would need to be removed to obtain complete or quasicomplete separation, i.e. the situation where the logistic …

there is limited overlap in the covariate distributions between the treatment groups. But such limited overlap can also have … by the number of observations in the areas of limited overlap. At least some of these "local sample sizes" are often very …

restrict the dimension of the parameter space. For this purpose we introduce the concept of common feature separation and … investigate the relationships between separation in cointegration and separation in serial correlation common features. Loosely …