A Flexible Approach to Measurement Error Correction in Case–Control Studies

DOI10.1111/j.1541-0420.2008.00999.xzbMath1151.62083OpenAlexW2062827125WikidataQ46715039 ScholiaQ46715039MaRDI QIDQ3549415

Annamaria Guolo

Publication date: 22 December 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://paduaresearch.cab.unipd.it/8806/1/2007_8_20070620144704.pdf

zbMATH Keywords

likelihoodlogistic regressionmeasurement errorregression calibrationretrospective studyskewnormal distribution

Mathematics Subject Classification ID

Related Items (8)

Likelihood inference in generalized linear mixed measurement error models ⋮ Measurement Error Correction by Exploiting Gene-Environment Independence in Family-Based Case-Control Studies ⋮ Evaluation of a two-part regression calibration to adjust for dietary exposure measurement error in the Cox proportional hazards model: A simulation study ⋮ Density deconvolution for generalized skew-symmetric distributions ⋮ A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment ⋮ Signal detection of adverse events with imperfect confirmation rates in vaccine safety studies using self‐controlled case series design ⋮ Semiparametric approaches for matched case-control studies with error-in-covariates ⋮ A functional method for the conditional logistic regression with errors-in-covariates

Uses Software

• R

Cites Work

• Unnamed Item
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• Likelihood Analysis and Flexible Structural Modeling for Measurement Error Model Regression
• Flexible Parametric Measurement Error Models
• Inferences About Exposure-Disease Associations Using Probability-of- Exposure Information
• Mixture Models in Measurement Error Problems, with Reference to Epidemiological Studies
• Prospective Analysis of Logistic Case-Control Studies
• Nonparametric regression in the presence of measurement error
• Measurement Error in Nonlinear Models
• A Simplex Method for Function Minimization
• Maximum likelihood computations for regression with measurement error.

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