Computer simulation of randomized cancer screening trials to compare methods of estimating lead time and benefit time

DOI10.1016/S0167-9473(96)00029-1zbMath0875.62568MaRDI QIDQ672039

Karen Kafadar, Philip C. Prorok

Publication date: 27 February 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Sojourn timeBivariate gamma densityCatch-up pointDisease progression modelIncidence rateSurvival timeTest sensitivity

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic models, generic numerical methods in probability and statistics (65C20)

Related Items (3)

Quantification of length‐bias in screening trials with covariate‐dependent test sensitivity ⋮ Estimating the difference in location parameters of two survival curves, with applications to cancer screening ⋮ Bayesian Inference for the Lead Time in Periodic Cancer Screening

Cites Work

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• An age dependent stochastic model of periodic screening: Basic properties
• An age dependent stochastic model of periodic screening: Length bias at a prevalence screen
• Screening for the early detection of cancer - I. The temporal natural history of a progressive disease state
• Simplified Models of Screening for Chronic Disease: Estimation Procedures from Mass Screening Programmes
• The theory of periodic screening I: Lead time and proportion detected
• An Estimate of the Variance of Estimators for Lead Time and Screening Benefit Time in Randomized Cancer Screening Trials
• On the theory of screening for chronic diseases
• Robust Statistics

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