Adjustment for measurement error in evaluating diagnostic biomarkers by using an internal reliability sample
نویسندگان
چکیده
منابع مشابه
An application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملCognitive diagnostic error in internal medicine.
Medical error poses an important healthcare burden and a challenge for physicians and policy makers worldwide. Diagnostic error accounts for a substantial fraction of all medical mistakes. Most diagnostic errors have been associated with flaws in clinical reasoning. Empirical evidence on the cognitive mechanisms underlying such flaws and effectiveness of strategies to counteract them is scarce....
متن کاملTESTING FOR AUTOCORRELATION IN UNEQUALLY REPLICATED FUNCTIONAL MEASUREMENT ERROR MODELS
In the ordinary linear models, regressing the residuals against lagged values has been suggested as an approach to test the hypothesis of zero autocorrelation among residuals. In this paper we extend these results to the both equally and unequally replicated functionally measurement error models. We consider the equally and unequally replicated cases separately, because in the first case the re...
متن کاملOn using summary statistics from an external calibration sample to correct for covariate measurement error.
BACKGROUND Covariate measurement error is common in epidemiologic studies. Current methods for correcting measurement error with information from external calibration samples are insufficient to provide valid adjusted inferences. We consider the problem of estimating the regression of an outcome Y on covariates X and Z, where Y and Z are observed, X is unobserved, but a variable W that measures...
متن کاملBayesian adjustment for measurement error in continuous exposures in an individually matched case-control study
BACKGROUND In epidemiological studies explanatory variables are frequently subject to measurement error. The aim of this paper is to develop a Bayesian method to correct for measurement error in multiple continuous exposures in individually matched case-control studies. This is a topic that has not been widely investigated. The new method is illustrated using data from an individually matched c...
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: Statistics in Medicine
سال: 2013
ISSN: 0277-6715
DOI: 10.1002/sim.5878