measurement error
Measurement error and corrections for attenuation in meta-analyses
... (1990) present a meta-analysis of the effect of blood pressure on coronary heart disease, as well as new methods for estimation in measurement error models for the case when a replicate [r] ...
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Statistical methodology for regression model with measurement error
... the measurement error in the regres- sion analysis is the geometric mean (GM) functional relationship, initially proposed by Teissier (1948) and later by Barker et ...the measurement er- ror when no ...
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Sequential regression measurement error models with application
... intrinsic measurement errors. Measurement error has three effects, collectively known as the ‘triple whammy’ (Carroll et ...While measurement error methods have been successfully ...
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Simulation-extrapolation: The measurement error jackknife
... It is shown that the variance estimator is asymptotically valid in simple linear regression measurement error models.. Data from the Framingham Heart Study.[r] ...
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Measurement Error in Retrospective Work Histories
... Measurement error in retrospective reports of work status has been difficult to quantify in the ...of measurement error ...that measurement error in retrospective reports of ...
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Accounting for measurement error: A critical but often overlooked process
... In sum, researchers commonly infer characteristics about populations from comparatively restricted (small) study samples. Most inferences are statistical, and, aside from concerns about adequately accounting for known ...
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Simulation-extrapolation estimation in parametric measurement error models
... Kernel density estimates of the distributions of the regression parameters in the multiple logistic regression model simulation - a-c, normal measurement error; e-f, uniform measurement [r] ...
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Instrumental variable estimation in binary measurement error models
... linear measurement error model instrumental variable estimator is presented and used to motivate the generalization to binary regression models.. Results of a simulation study are discus[r] ...
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Estimation of slope for measurement error model with equation error: applications on serum kanamycin data
... equation error is often large compared to measurement error, in which case it would be more reasonable to assume there is no measurement error than to assume no equation ...
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Survival Analysis of Microarray Data With Microarray Measurement Subject to Measurement Error
... of the SIMEX method apply to both cases except for the data simulation procedure. The SIMEX method was generalized to handle survival data for which censor- ing is a typical feature by He et al. (2007). The SIMEX ...
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Fuzzy Chronic Poverty:A Proposed Response to Measurement Error for Intertemporal Poverty Measurement
... mean-reverting measurement error, the fuzzy measures are closer to the “true” (error free) measures, and that it is possible to minimise exclusion errors by fuzzying only above the poverty ...
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The Study Of Measurement Error In Vision System
... the measurement later could be wrong ...The measurement error that been traced using human vision then need to be inspect and solve the ...of error can be ...
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Adjustment for Measurement Error
... underlying error-free variable when interest focuses on insight about the distribution of the latent ...1. Measurement error with variance σ u 2 = 1 is added to the data, corresponding to large ...
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Robust Estimation via Measurement Error Modeling
... to measurement error modeling (Stefanski, 2000; Carrol et ...structural measurement error model for the unobservable error-free data and the observed error-contaminated ...usual ...
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Nonclassical measurement error in a nonlinear (duration) model
... nonclassical measurement error in the continuous dependent variable of a semiparametric transformation ...(additive) measurement error to be correlated with a (continuous) component of the ...
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Measurement Error And Uncertainty Analysis By Excel
... its measurement uncertainty. It is properly evaluated measurement uncertainty that provides the information needed to properly assess the usefulness of ...their measurement errors be small in ...
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Deconvolution based score tests in measurement error models
... This is noteworthy in the case of normal measurement error, where the squared error rate of convergence for estimating a density is of order {log(n)}-2, while that for estimating m(w) is[r] ...
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EWMA Chart and Measurement Error
... the error component in the model. In this special case of measurement error, extra precaution is needed because the ability of the EWMA chart to detect fast small shifts is cancelled ...increasing ...
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Correcting AUC for Measurement Error
... for measurement error would result in AUC biased toward the null value ...in measurement error ...if measurement error is small as characterized by θ 2 ...
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Measurement error in a single regressor
... In the applied econometrics literature of the cross-sectional type, one often meets the case of a regression equation being estimated where the regressor set includes a number of control variables to account for ...
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