Add to ORKGThe use of analytical chemistry measurements in environmental monitoring is dependent on an assessment of measurement error. Models for variation in measurements are needed to quantify uncertainty in measurements, set limits of detection, and preprocess data for more sophisticated analysis in prediction, classification, and clustering. This article explains how a two-component error model can be used to accomplish all of these objectives. In addition, we present applications to quantitating biomarkers of exposure to toxic substances using gene expression microarrays
Abstract: DNA microarrays are an emerging technology for genome-wide analysis of gene expression. Su...
In screening level of risk assessment of chemicals released into the environment, simple mathematica...
Utilizing multiple biomarkers is increasingly common in epidemiology. However, the combined impact o...
The use of analytical chemistry measurements in environmental monitoring is dependent on an assessme...
The utility of analytical chemistry measurements in most applications is dependent on an assessment ...
In this article, we propose and test a new model for measurement error in analytical chemistry. Ofte...
Measurement uncertainty has long been a concern in the characterizing and interpreting environmental...
Exposure assessment is a key aspect of environmental epidemiology. In standard statistical analysis,...
Background: Scientists and regulatory agencies strive to identify chemicals that may cause harmful e...
A new method has been developed to model the uncertainty of measured concentrations in test material...
Uncertainties in human health risk assessment, and the measuring on the impacts of contaminants have...
1. Uncertainty in measurements of contaminant concentration from site investigation is inevitable, a...
The sample matrix is one of the main sources contributing to the uncertainly of results obtained in ...
The full potential of using a biomarker-based monitoring approach as a tool for environmental assess...
Utilizing multiple biomarkers is increasingly common in epidemiology. However, the combined impact o...
Abstract: DNA microarrays are an emerging technology for genome-wide analysis of gene expression. Su...
In screening level of risk assessment of chemicals released into the environment, simple mathematica...
Utilizing multiple biomarkers is increasingly common in epidemiology. However, the combined impact o...
The use of analytical chemistry measurements in environmental monitoring is dependent on an assessme...
The utility of analytical chemistry measurements in most applications is dependent on an assessment ...
In this article, we propose and test a new model for measurement error in analytical chemistry. Ofte...
Measurement uncertainty has long been a concern in the characterizing and interpreting environmental...
Exposure assessment is a key aspect of environmental epidemiology. In standard statistical analysis,...
Background: Scientists and regulatory agencies strive to identify chemicals that may cause harmful e...
A new method has been developed to model the uncertainty of measured concentrations in test material...
Uncertainties in human health risk assessment, and the measuring on the impacts of contaminants have...
1. Uncertainty in measurements of contaminant concentration from site investigation is inevitable, a...
The sample matrix is one of the main sources contributing to the uncertainly of results obtained in ...
The full potential of using a biomarker-based monitoring approach as a tool for environmental assess...
Utilizing multiple biomarkers is increasingly common in epidemiology. However, the combined impact o...
Abstract: DNA microarrays are an emerging technology for genome-wide analysis of gene expression. Su...
In screening level of risk assessment of chemicals released into the environment, simple mathematica...
Utilizing multiple biomarkers is increasingly common in epidemiology. However, the combined impact o...