Bayesian Inference for the Lead Time in Periodic Cancer Screening

DOI10.1111/J.1541-0420.2006.00732.XzbMath1146.62100OpenAlexW2020573857WikidataQ36062889 ScholiaQ36062889MaRDI QIDQ5434920

Dongfeng Wu, L. D. Broemeling, Gary L. Rosner

Publication date: 14 January 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2020448

zbMATH Keywords

sensitivitysojourn timebreast cancertransition probabilityearly detectionperiodic screening exams

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Approximate models and robust decisions ⋮ Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence

Cites Work

• Unnamed Item
• Computer simulation of randomized cancer screening trials to compare methods of estimating lead time and benefit time
• Optimal scheduling of examinations for the early detection of disease
• MLE and Bayesian Inference of Age-Dependent Sensitivity and Transition Probability in Periodic Screening
• Bounded Recurrence times and lead time in the design of a repetitive screening program
• An Estimate of the Variance of Estimators for Lead Time and Screening Benefit Time in Randomized Cancer Screening Trials
• Estimating Lead Time and Sensitivity in a Screening Program without Estimating the Incidence in the Screened Group
• On the theory of screening for chronic diseases

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