For the setting of multiple regression with measurement error in a single regressor, we present some very simple formulas to assess the result that one may expect when correcting for measurement error. It is shown where the corrected estimated regression coefficients and the error variance may lie, and how the t-value behaves. (C) 2000 Elsevier Science S.A. All rights reserved.</p
Measurement error in exposures and confounders leads to bias in regression coefficients. It is possi...
The present article considers the problem of consistent estimation in measurement error models. A li...
Type I error rates in multiple regression, and hence the chance for false positive research findings...
For the setting of multiple regression with measurement error in a single regressor, we present some...
SOM-theme F Interactions between consumers and firms For the setting of multiple regression with mea...
In this thesis we study the effect of regressors measured with an error on an estimated coefficients...
The coefficient of determination (R2) is used for judging the goodness of fit in a linear regression...
correlation and multiple linear regression analyses. Am J Epidemiol 1988;127:864
It is well known that measurement error in observable variables induces bias in estimates in standar...
We consider the implications of an alternative to the classical measurement-error model, in which th...
AbstractThe problem of simultaneous estimation of the regression parameters in a multiple regression...
Measurement error (ME) is the difference between the true unknown value of a variable and the data a...
Linear regression models are studied when variables of interest are observed in the presence of meas...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
The problem of using information available from one variable X to make inferenceabout another Y is c...
Measurement error in exposures and confounders leads to bias in regression coefficients. It is possi...
The present article considers the problem of consistent estimation in measurement error models. A li...
Type I error rates in multiple regression, and hence the chance for false positive research findings...
For the setting of multiple regression with measurement error in a single regressor, we present some...
SOM-theme F Interactions between consumers and firms For the setting of multiple regression with mea...
In this thesis we study the effect of regressors measured with an error on an estimated coefficients...
The coefficient of determination (R2) is used for judging the goodness of fit in a linear regression...
correlation and multiple linear regression analyses. Am J Epidemiol 1988;127:864
It is well known that measurement error in observable variables induces bias in estimates in standar...
We consider the implications of an alternative to the classical measurement-error model, in which th...
AbstractThe problem of simultaneous estimation of the regression parameters in a multiple regression...
Measurement error (ME) is the difference between the true unknown value of a variable and the data a...
Linear regression models are studied when variables of interest are observed in the presence of meas...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
The problem of using information available from one variable X to make inferenceabout another Y is c...
Measurement error in exposures and confounders leads to bias in regression coefficients. It is possi...
The present article considers the problem of consistent estimation in measurement error models. A li...
Type I error rates in multiple regression, and hence the chance for false positive research findings...