Literature DB >> 8248663

Conditional independence models for epidemiological studies with covariate measurement error.

S Richardson1, W R Gilks.   

Abstract

We construct a unifying representation of the structure of measurement error problems with particular reference to situations commonly encountered in epidemiological studies, and outline how estimation of the parameters of interest can be carried out in a Bayesian framework using Gibbs sampling. We show how this approach can be implemented for designs involving continuous measurement errors assessed through a validation substudy, and discuss our results on simulated data.

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Mesh：

Year:  1993        PMID： 8248663     DOI： 10.1002/sim.4780121806

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


  21 in total

1.  A simple model for potential use with a misclassified binary outcome in epidemiology.

Authors:  S W Duffy; J Warwick; A R W Williams; H Keshavarz; F Kaffashian; T E Rohan; F Nili; A Sadeghi-Hassanabadi
Journal:  J Epidemiol Community Health       Date:  2004-08       Impact factor: 3.710

2.  Measurement error of dietary self-report in intervention trials.

Authors:  Loki Natarajan; Minya Pu; Juanjuan Fan; Richard A Levine; Ruth E Patterson; Cynthia A Thomson; Cheryl L Rock; John P Pierce
Journal:  Am J Epidemiol       Date:  2010-08-18       Impact factor: 4.897

3.  Flexible dose-response models for Japanese atomic bomb survivor data: Bayesian estimation and prediction of cancer risk.

Authors:  James Bennett; Mark P Little; Sylvia Richardson
Journal:  Radiat Environ Biophys       Date:  2004-11-25       Impact factor: 1.925

Review 4.  Biomarkers in nutritional epidemiology: applications, needs and new horizons.

Authors:  Mazda Jenab; Nadia Slimani; Magda Bictash; Pietro Ferrari; Sheila A Bingham
Journal:  Hum Genet       Date:  2009-04-09       Impact factor: 4.132

5.  Binomial regression with a misclassified covariate and outcome.

Authors:  Sheng Luo; Wenyaw Chan; Michelle A Detry; Paul J Massman; Rachelle S Doody
Journal:  Stat Methods Med Res       Date:  2012-03-15       Impact factor: 3.021

6.  A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection.

Authors:  Sharon Chiang; Michele Guindani; Hsiang J Yeh; Sandra Dewar; Zulfi Haneef; John M Stern; Marina Vannucci
Journal:  Front Neurosci       Date:  2017-12-05       Impact factor: 4.677

7.  Lifetime Mortality Risk from Cancer and Circulatory Disease Predicted from the Japanese Atomic Bomb Survivor Life Span Study Data Taking Account of Dose Measurement Error.

Authors:  Mark P Little; David Pawel; Munechika Misumi; Nobuyuki Hamada; Harry M Cullings; Richard Wakeford; Kotaro Ozasa
Journal:  Radiat Res       Date:  2020-09-16       Impact factor: 2.841

8.  A Bayesian multilevel model for estimating the diet/disease relationship in a multicenter study with exposures measured with error: the EPIC study.

Authors:  Pietro Ferrari; Raymond J Carroll; Paul Gustafson; Elio Riboli
Journal:  Stat Med       Date:  2008-12-20       Impact factor: 2.373

9.  STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2-More complex methods of adjustment and advanced topics.

Authors:  Pamela A Shaw; Paul Gustafson; Raymond J Carroll; Veronika Deffner; Kevin W Dodd; Ruth H Keogh; Victor Kipnis; Janet A Tooze; Michael P Wallace; Helmut Küchenhoff; Laurence S Freedman
Journal:  Stat Med       Date:  2020-04-03       Impact factor: 2.373

10.  CORRECTING FOR MEASUREMENT ERROR IN LATENT VARIABLES USED AS PREDICTORS.

Authors:  Lynne Steuerle Schofield
Journal:  Ann Appl Stat       Date:  2015-12-01       Impact factor: 2.083
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