A Semiparametric Censoring Bias Model for Estimating the Cumulative Risk of a False‐Positive Screening Test Under Dependent Censoring

DOI10.1111/J.1541-0420.2012.01831.XzbMath1270.62139OpenAlexW1904602850WikidataQ36754236 ScholiaQ36754236MaRDI QIDQ4919597

Diana L. Miglioretti, Rebecca Hubbard

Publication date: 14 May 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3622119

zbMATH Keywords

dependent censoringscreeningmammographyfalse-positive

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Medical applications (general) (92C50)

Related Items (2)

Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests ⋮ Letter to the Editor: “Comment on Hubbard and Miglioretti (2013), Consider Also a Selection Model for the Cumulative Risk of False Positive Screening Tests”

Cites Work

• Inference in Randomized Studies with Informative Censoring and Discrete Time-to-Event Endpoints
• Estimating the Cumulative Risk of a False-Positive Test in a Repeated Screening Program
• The Analysis of Failure Times in the Presence of Competing Risks
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models

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