c classes are characterized by unknown probability distributions. A data sample containing labelled vectors from each of the c classes is available. The data sample is divided into test and training samples. A classifier is designed based on the training sample and evaluated with the test sample. The classifier is also evaluated based on its asymptotic properties as sample size increases. A mul...

BACKGROUND Few studies consider how risk factors within multiple levels of influence operate synergistically to determine childhood obesity. We used recursive partitioning analysis to identify unique combinations of individual, familial, and neighborhood factors that best predict obesity in children, and tested whether these predict 2-year changes in body mass index (BMI). METHODS Data were c...

PURPOSE In patients with adenocarcinoma of the esophagus who receive preoperative chemoradiotherapy (CRT), American Joint Committee on Cancer (AJCC) stage, pathologic complete response (pCR), and estimated treatment response are various means used to stratify patients prognostically after surgery. However, none of these methods has been formally evaluated. The purpose of this study was to estab...