Modeling measurement error in tumor characterization studies

Measurement Error in Epidemiologic Studies

Semiparametric Bayesian measurement error modeling

This work introduces a Bayesian semi-parametric approach for dealing with regression models where the covariate is measured with error. The main advantage of this extended Bayesian approach is the possibility of considering generalizations of the elliptical family of models by using Dirichlet process priors in the dependent and independent situations. Conditional posterior distributions are imp...

Modeling error propagation in a measurement system

We outline in this paper a hybrid method to propagate uncertainty in systems described by trees. Given a system described by a tree where nodes are basic operations and leafs are random variables described by their probability density functions (PDFs), one show that by a combination of exact computations with sampled versions of PDFs one can obtain the PDFs of output variables with great effici...

Measurement Error in Hierarchical Gain Score Modeling

This paper compares three approaches for solving the problem of measurement error in a hierarchical gain score model. The pre-test and post-test scores are IRT scores with measurement error. Explanatory variables at student level and class level are considered in the model. Simulation results show that the gain score model that does not consider measurement error overestimates the explanatory v...

Studies on Soot Formation and Combustion in Turbulent Spray Flames: Modeling and Experimental Measurement

The present study is concerned with measuring and simulating soot formation and combustion in turbulent liquid fuel spray flames. Soot concentrations inside the combustor are measured by filter paper technique. The simulation is based on the solution of the fully-coupled conservation equations for turbulent flow, chemical species kinetic modeling, fuel droplet evaporation and combustion and...