The National Institute of Statistical Sciences (NISS) has received funding to develop Bayesian methods for syndromic surveillance using conditionally auto regressive models. The research aims to provide quantified estimates of disease presence, characterize uncertainties, and implement computational methods at a nationwide scale.
A new letter in JAMA contests an earlier study's associations between bisphenol A and various health issues, citing statistical limitations. The authors conclude that the findings could be due to chance rather than real health concerns.
The program aims to develop advanced statistical methodologies for implementing USDA surveys and analyzing survey results. Four focus areas have been identified: multivariate imputation, new design and estimation methodologies, automated editing and imputation methods, and statistical multi-source predictive models.
Professor John Rice, Chair of Statistics at UC Berkeley, wins the 2008 Jerome Sacks Award for his diverse cross-disciplinary contributions to various fields. The award recognizes sustained high-quality research involving statistical sciences.