A Model for Adjusting for Nonignorable Verification Bias in Estimation of the ROC Curve and Its Area with Likelihood-Based Approach
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Publication:3076041
DOI10.1111/j.1541-0420.2010.01397.xzbMath1233.62183OpenAlexW2057180959WikidataQ30538455 ScholiaQ30538455MaRDI QIDQ3076041
Danping Liu, Xiao-Hua Andrew Zhou
Publication date: 17 February 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3618959
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Related Items (6)
FULL-SEMIPARAMETRIC-LIKELIHOOD-BASED INFERENCE FOR NON-IGNORABLE MISSING DATA ⋮ On the identifiability and estimation of generalized linear models with parametric nonignorable missing data mechanism ⋮ Estimation of the volume under the ROC surface in presence of nonignorable verification bias ⋮ Estimated conditional score function for missing mechanism model with nonignorable nonresponse ⋮ Covariate Adjustment in Estimating the Area Under ROC Curve with Partially Missing Gold Standard ⋮ Semiparametric Estimation of the Covariate-Specific ROC Curve in Presence of Ignorable Verification Bias
Cites Work
- Nonparametric analysis for the ROC areas of two diagnostic tests in the presence of nonignorable verification bias.
- Accounting for Nonignorable Verification Bias in Assessment of Diagnostic Tests
- Nonparametric estimation of the probability of illness in the illness-death model under cross-sectional sampling
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- A Nonparametric Maximum Likelihood Estimator for the Receiver Operating Characteristic Curve Area in the Presence of Verification Bias
- Estimating an roc curve in the presence of non-ignorable verification bias
- Comparing Correlated Areas under the ROC Curves of Two Diagnostic Tests in the Presence of Verification Bias
- ROC Curve Estimation When Covariates Affect the Verification Process
- Pattern-Mixture Models for Multivariate Incomplete Data
- Evaluating Multiple Diagnostic Tests with Partial Verification
- Doubly Robust Estimation of the Area Under the Receiver-Operating Characteristic Curve in the Presence of Verification Bias
- Assessing Accuracy of a Continuous Screening Test in the Presence of Verification Bias
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