Add to ORKGCopyright © 2013 Bijan Nouri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background. Misclassification of exposure variables in epidemiologic studies may lead to biased estimation of parameters and loss of power in statistical inferences. In this paper, the inverse matrix method, as an efficient method of the correction of odds ratio for the misclassification of a binary exposure, was generalized to nondifferential misclassification and 2 × 2
Consider a study in which the effect of a binary exposure on an outcome operates partly through a bi...
In many epidemiological studies the risk factor or exposure of interest is measured with significant...
Measurement error occurs frequently in observational studies investigating the relationship between ...
Background. Misclassification of exposure variables in epidemiologic studies may lead to biased esti...
The problem of misclassification is common in epidemiological and clinical research. In some cases, ...
Summary: Poor measurement of explanatory variables occurs frequently in observational studies. Error...
The authors argue that one can never be certain whether an exposure variable which is measured with ...
There is quite an extensive literature on the deleterious impact of exposure misclassification when ...
Measurement error occurs frequently in observational studies investigating the relationship between...
Epidemiologic studies often aim to estimate the odds ratio for the association between a binary expo...
Misclassification in a binary exposure variable within an unmatched prospective study may lead to a ...
There are many epidemiologic studies to find the relationship between disease occurrence and categor...
Wacholder, and J. H. Lubin. Does nondifferential misclassification of exposure always bias a true ef...
<sec><title>INTRODUCTION:</title><p> In epidemiological studies, misclassification error, especially...
In epidemiologic studies, measurement error in the exposure variable can have large effects on the p...
Consider a study in which the effect of a binary exposure on an outcome operates partly through a bi...
In many epidemiological studies the risk factor or exposure of interest is measured with significant...
Measurement error occurs frequently in observational studies investigating the relationship between ...
Background. Misclassification of exposure variables in epidemiologic studies may lead to biased esti...
The problem of misclassification is common in epidemiological and clinical research. In some cases, ...
Summary: Poor measurement of explanatory variables occurs frequently in observational studies. Error...
The authors argue that one can never be certain whether an exposure variable which is measured with ...
There is quite an extensive literature on the deleterious impact of exposure misclassification when ...
Measurement error occurs frequently in observational studies investigating the relationship between...
Epidemiologic studies often aim to estimate the odds ratio for the association between a binary expo...
Misclassification in a binary exposure variable within an unmatched prospective study may lead to a ...
There are many epidemiologic studies to find the relationship between disease occurrence and categor...
Wacholder, and J. H. Lubin. Does nondifferential misclassification of exposure always bias a true ef...
<sec><title>INTRODUCTION:</title><p> In epidemiological studies, misclassification error, especially...
In epidemiologic studies, measurement error in the exposure variable can have large effects on the p...
Consider a study in which the effect of a binary exposure on an outcome operates partly through a bi...
In many epidemiological studies the risk factor or exposure of interest is measured with significant...
Measurement error occurs frequently in observational studies investigating the relationship between ...