A stochastic model for survival of early prostate cancer with adjustments for leadtime, length bias, and over-detection

DOI10.1002/BIMJ.201000107zbMath1239.62141OpenAlexW1930983987WikidataQ53093666 ScholiaQ53093666MaRDI QIDQ2893525

Hsiu-Hsi Chen, Amy Ming-Fang Yen, Anssi Auvinen, Matti Hakama, Grace Hui-Min Wu, Stephen D. Walter

Publication date: 21 June 2012

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: http://ntur.lib.ntu.edu.tw/bitstream/246246/259932/1/index.html

zbMATH Keywords

stochastic processesprostate-specific antigenmass screeningprostate neoplasms

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Non-Markovian processes: estimation (62M09) Medical applications (general) (92C50)

Related Items (1)

Construction of special soliton solutions to the stochastic Riccati equation

Uses Software

• SAS/IML
• SAS
• SAS macro MARKOV

Cites Work

• Unnamed Item
• Unnamed Item
• Simplified Models of Screening for Chronic Disease: Estimation Procedures from Mass Screening Programmes
• Estimation of Sojourn Time in Chronic Disease Screening Without Data on Interval Cases

This page was built for publication: A stochastic model for survival of early prostate cancer with adjustments for leadtime, length bias, and over-detection