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 ...

For the m-way contingency table, we consider models that describe the possible multiplicative interactions among the m variables of the table, and we show how to select models that fit the data in the ...

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 ...