منابع مشابه
Correcting AUC for Measurement Error
Diagnostic biomarkers are used frequently in epidemiologic and clinical work. The ability of a diagnostic biomarker to discriminate between subjects who develop disease (cases) and subjects who do not (controls) is often measured by the area under the receiver operating characteristic curve (AUC). The diagnostic biomarkers are usually measured with error. Ignoring measurement error can cause bi...
متن کاملCorrecting for Measurement Error in Food Demand Estimation
Use of disappearance data as proxies for actual consumption causes inconsistent estimates of own-price retail demand elasticities. A system of equations describing consumer, processor, and producer behavior is used to consistently estimate the retail demand elasticity for beef using available data while avoiding the restrictive assumption of fixed input proportions implicit in disappearance dat...
متن کاملCorrecting for Measurement Error in Latent Variables Used as Predictors.
This paper represents a methodological-substantive synergy. A new model, the Mixed Effects Structural Equations (MESE) model which combines structural equations modeling and item response theory is introduced to attend to measurement error bias when using several latent variables as predictors in generalized linear models. The paper investigates racial and gender disparities in STEM retention i...
متن کاملCorrecting Instrumental Variables Estimators for Systematic Measurement Error.
Instrumental variables (IV) estimators are well established to correct for measurement error on exposure in a broad range of fields. In a distinct prominent stream of research IV's are becoming increasingly popular for estimating causal effects of exposure on outcome since they allow for unmeasured confounders which are hard to avoid. Because many causal questions emerge from data which suffer ...
متن کاملCorrecting for Dynamic Error
Dynamic errors are the largest single source of registration errors, and system delays cause most of the dynamic errors. Prediction is a key technique in combatting the effects of system delay. This paper discusses several prediction methods and how well they may be applied to the head-motion prediction problem. Since Kalman filters are the basis of the most accurate previous work, a simple exa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Biometrics & Biostatistics
سال: 2015
ISSN: 2155-6180
DOI: 10.4172/2155-6180.1000270