Often there is substantial uncertainty in the selection of confounders when estimating the association between an exposure and health. We define this type of uncertainty as `adjustment uncertainty'. We propose a general statistical framework for handling adjustment uncertainty in exposure effect...

Several important syndromes are caused by deleterious germline mutations of individual genes. In both clinical and research applications it is useful to evaluate the probability that an individual carries an inherited genetic variant of these genes, and to predict the risk of disease for that...

In the simultaneous estimation of a large number of related quantities, multilevel models provide a formal mechanism for effciently making use of the ensemble of information for deriving individual estimates. In this article we present a novel and flexible class of normal multilevel models,...

To rigorously determine whether a gene or a set of genes have alterations that are involved in carcinogenesis requires a comparison of the prevalence of identified changes to a control mutation frequency present in tumor DNA. To facilitate this task, we develop a testing approach and the...

Several important syndromes are caused by deleterious germline mutations of individual genes. In both clinical and research applications it is useful to evaluate the probability that an individual carries an inherited genetic variant of these genes, and to predict the risk of disease for that...

Complementary DNA (cDNA) microarrays are a powerful tool for genomic analysis, but have noise components that make inferences regarding gene expression inefficient and potentially misleading. Background fluorescence, whether attributable to non-specific binding or other sources, is an important...