Logistic regression is a powerful technique for fitting models to data with a binary response variable, but the models are difficult to interpret if collinearity, nonlinearity, or interactions are ...

We describe methods used to create a new Census data base that can be used to study comparability of industry and occupation classification systems. This project represents the most extensive ...

Multisite Parent-Centered Risk Assessment to Reduce Pediatric Oral Chemotherapy Errors Peripherally inserted central catheters (PICCs) are often used in place of mediport catheters because of cost and ...