Measurement error problems in binary regression are of considerable interest among researchers, especially in epidemiological studies. Misclassification can be considered a special case of measurement error specifically ...
The problem of analyzing associated outcomes of mixed type arises frequently
in practice. In this dissertation we develop several Bayesian models for analyzing
associated discrete and continuous responses simultaneously ...
Count data are quite common in many research areas. Interval-censored
counts, in which an interval representing a range of counts is observed rather than
the precise count, may arise in many situations, including survey ...
Advances in microarray technology have equipped researchers to measure gene expression levels simultaneously from thousands of genes, yielding increasingly large and complex data sets. However, due to the cost and time ...
The double-sampling paradigm, which has become an important part of the epidemiological designs, includes two stages. First, individuals are classified into groups by disease and exposure levels using a fallible test, and ...