MLE and Bayesian Inference of Age-Dependent Sensitivity and Transition Probability in Periodic Screening

DOI10.1111/j.1541-0420.2005.00361.xzbMath1087.62135OpenAlexW2025633407WikidataQ34977102 ScholiaQ34977102MaRDI QIDQ3379261

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

Publication date: 6 April 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc1540406

zbMATH Keywords

sensitivityMarkov chain Monte Carlosojourn timetransition probabilityearly detectionperiodic screening

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (5)

Quantification of length‐bias in screening trials with covariate‐dependent test sensitivity ⋮ Tailored optimal posttreatment surveillance for cancer recurrence ⋮ Gamma process-based models for disease progression ⋮ Bayesian Inference for the Lead Time in Periodic Cancer Screening ⋮ Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence

Cites Work

• Markov chains for exploring posterior distributions. (With discussion)
• Testing the Independence of Two Diagnostic Tests
• Optimal scheduling of examinations for the early detection of disease
• Simplified Models of Screening for Chronic Disease: Estimation Procedures from Mass Screening Programmes
• Estimating Lead Time and Sensitivity in a Screening Program without Estimating the Incidence in the Screened Group
• Evaluating the Age to Begin Periodic Breast Cancer Screening Using Data from a Few Regularly Scheduled Screenings
• Estimation of Sojourn Time in Chronic Disease Screening Without Data on Interval Cases
• Parametric estimation procedures for screening programmes: stable and nonstable disease models for multimodality case finding

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