Inference about Misclassification Probabilities from Repeated Binary Responses

DOI10.1111/j.0006-341X.2000.00706.xzbMath1060.62608OpenAlexW2133091890WikidataQ39546960 ScholiaQ39546960MaRDI QIDQ4670402

Shizue Izumi, Hironori Fujisawa

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2000.00706.x

zbMATH Keywords

sensitivityspecificityrandom effects modellatent class modelserological dataparameter identifiabilityfalse-negative errorfalse-positive error

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (5)

Alternative estimator for the parameters of a mixture of two binomial distributions ⋮ Repeated responses in misclassification binary regression: A Bayesian approach ⋮ Bayesian sample size determination for binary regression with a misclassified covariate and no gold standard ⋮ Estimators of parameters of a mixture of three multinomial distributions based on simple majority results ⋮ Expected Estimating Equations for Missing Data, Measurement Error, and Misclassification, with Application to Longitudinal Nonignorable Missing Data

Cites Work

• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Testing hypotheses with binary data subject to misclassification errors: Analysis and experimental design
• Random Effects Models in Latent Class Analysis for Evaluating Accuracy of Diagnostic Tests
• Identifiability of Finite Mixtures

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