OBJECTIVE To study the extent to which selection bias poses problems for estimating the attributable cost of deep chest surgical-site infection (SSI) following coronary artery bypass graft (CABG) surgery. DESIGN Reanalysis of a prospective case-control study. SETTING A large, Midwestern community medical center. PATIENTS Cases were all patients who had an SSI (N = 41) following CABG and C...

A generic, hierarchical, and multifidelity unit cost of acquisition estimating methodology for outside production machined parts is presented. The originality of the work lies with the method's inherent capability of being able to generate multilevel and multifidelity cost relations for large volumes of parts utilizing process, supply chain costing data, and varying degrees of part design defin...

The building blocks introduced earlier by us in [1] are used for constructing a hierarchical nonlinear model for nonlinear factor analysis. We call the resulting method hierarchical nonlinear factor analysis (HNFA). The variational Bayesian learning algorithm used in this method has a linear computational complexity, and it is able to infer the structure of the model in addition to estimating t...

We address the problem of estimating the average switching activity of combinational circuits under random input sequences. Switching activity is strongly affected by gate delays, and for this reason we use a variable delay model in estimating switching activity. Unlike most probabilistic methods that estimate switching activity, our method takes into account correlation caused at internal gate...