Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified

DOI10.1515/EM-2013-0008zbMath1359.92007OpenAlexW2119149306WikidataQ35243869 ScholiaQ35243869MaRDI QIDQ2974507

Yungtai Lo, Robert H. Lyles, Ye Ye, Caroline C. King, Li Tang

Publication date: 10 April 2017

Published in: Epidemiologic Methods (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4382468

zbMATH Keywords

likelihoodmisclassificationmatrix methodinverse matrix method

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15)

Related Items (2)

Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort ⋮ Analysis of case-control data with interacting misclassified covariates

Uses Software

• SAS
• SAS/STAT

Cites Work

• Unnamed Item
• Efficient estimation of regression parameters from multistage studies with validation of outcome and covariates
• Maximum-likelihood and closed-form estimators of epidemiologic measures under misclassifi\-ca\-tion
• A Note on Estimating Crude Odds Ratios in Case-Control Studies with Differentially Misclassified Exposure
• Cost-Efficient Study Designs for Binary Response Data with Gaussian Covariate Measurement Error
• The Effects of Misclassification on the Estimation of Relative Risk
• Matrix Methods for Estimating Odds Ratios with Misclassified Exposure Data: Extensions and Comparisons
• A new look at the statistical model identification

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