A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX

DOI10.1111/j.1541-0420.2005.00396.xzbMath1091.62057OpenAlexW2095175829WikidataQ82853098 ScholiaQ82853098MaRDI QIDQ5473210

Samuel Musili Mwalili, Helmut Küchenhoff, Emmanuel Lesaffre

Publication date: 20 June 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00396.x

zbMATH Keywords

logistic regressionmisclassificationSIMEXresponse error

Mathematics Subject Classification ID

Related Items (22)

Partially identified prevalence estimation under misclassification using the kappa coefficient ⋮ Some recent advances in measurement error models and methods ⋮ De-noising analysis of noisy data under mixed graphical models ⋮ Bayesian two-component measurement error modelling for survival analysis using INLA -- a case study on cardiovascular disease mortality in Switzerland ⋮ On correcting measurement error in the persistence rate estimator ⋮ Adapting SIMEX to correct for bias due to interval‐censored outcomes in survival analysis with time‐varying exposure ⋮ Bayesian adjustment for unidirectional misclassification in ordinal covariates ⋮ R package for analysis of data with mixed measurement error and misclassification in covariates: augSIMEX ⋮ A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment ⋮ Analysis of noisy survival data with graphical proportional hazards measurement error models ⋮ Unnamed Item ⋮ Modeling of Multivariate Monotone Disease Processes in the Presence of Misclassification ⋮ Make assurance double sure: combination of two disclosure limitation methods and estimation of general regression models ⋮ Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data ⋮ Misclassification of current status data ⋮ On the estimation of the misclassification table for finite count data with an application in caries research ⋮ Oral health research: A source for innovative new statistical developments ⋮ Asymptotic variance estimation for the misclassification SIMEX ⋮ Efficient logistic regression designs under an imperfect population identifier ⋮ Bias correction methods for misclassified covariates in the Cox model: comparison of five correction methods by simulation and data analysis ⋮ Application of the misclassification simulation extrapolation procedure to log-logistic accelerated failure time models in survival analysis ⋮ A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error

Uses Software

• simex

Cites Work

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• Finding Generators for Markov Chains via Empirical Transition Matrices, with Applications to Credit Ratings
• Characterizations of embeddable \(3 \times 3\) stochastic matrices with a negative eigenvalue
• The statistical precision of medical screening procedures: application to polygraph and AIDS antibodies test data. With comments and a rejoinder by the author
• Analysis of Clustered and Longitudinal Binary Data Subject to Response Misclassification
• Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models
• Simulation-Extrapolation: The Measurement Error Jackknife
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Matrix Methods for Estimating Odds Ratios with Misclassified Exposure Data: Extensions and Comparisons
• Nonparametric regression in the presence of measurement error
• Bias and efficiency loss due to misclassified responses in binary regression
• A Bayesian Ordinal Logistic Regression Model to Correct for Interobserver Measurement Error in a Geographical Oral Health Study
• Maximum Likelihood Estimation of Misspecified Models

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