Imputation Approaches for Estimating Diagnostic Accuracy for Multiple Tests from Partially Verified Designs

DOI10.1111/J.1541-0420.2006.00734.XzbMath1146.62077OpenAlexW2088016977WikidataQ39812183 ScholiaQ39812183MaRDI QIDQ5434934

Paul S. Albert

Publication date: 14 January 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00734.x

zbMATH Keywords

sensitivityprevalencepartial verificationspecificitymultiple testslatent class modelsmean imputationsemilatent class modelsgold standard evaluationserification bias

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Testing in survival analysis and censored data (62N03)

Related Items (1)

Simultaneous inference of a misclassified outcome and competing risks failure time data

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Misspecified maximum likelihood estimates and generalised linear mixed models
• Accounting for Nonignorable Verification Bias in Assessment of Diagnostic Tests
• Maximum likelihood estimators of sensitivity and specificity corrected for verification bias
• Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse
• ROC Curve Estimation When Covariates Affect the Verification Process
• Evaluating Multiple Diagnostic Tests with Partial Verification
• Estimating disease prevalence in two-phase studies
• Assessing Accuracy of a Continuous Screening Test in the Presence of Verification Bias

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