A tool for shared decision making on referral for prostate biopsy in the primary care setting: integrating risks of cancer with life expectancy

JFM Verbeek, D Nieboer, C Parker, MW Kattan… - Journal of Personalized …, 2019 - mdpi.com
Prostate cancer (PCa) testing involves a complex individually based decision making
process. It should consider competing risks from other comorbidities when estimating a …

[HTML][HTML] Length-biased semi-competing risks models for cross-sectional data: an application to current duration of pregnancy attempt data

AC McLain, S Guo, J Zhang, T Marie - The annals of applied …, 2021 - ncbi.nlm.nih.gov
Cross-sectional length-biased data arise from questions on the at-risk time for an event of
interest from those who are at-risk but have yet to experience the event. For example, in the …

[HTML][HTML] Fibers Image Analysis: A Review of Fibers Processing Techniques

LP Saxena - 2020 - imanagerpublications.com
Fibers image analysis is a new approach used in textile industries based on image
processing techniques to enhance fiber imaging applications. These applications include …

[PDF][PDF] CROSS-SECTIONAL LENGTH-BIASED SEMI-COMPETING RISKS DATA

S Guo - sc-bdhs-conference.org
Cross-sectional length-biased semi-competing risks data Page 1 CROSS-SECTIONAL
LENGTHBIASED SEMI-COMPETING RISKS DATA Siyuan Guo Department of Epidemiology …

Non-parametric and Semi-parametric Estimation in Forward and Backward Recurrence Time Data

P Roy - 2015 - cdr.lib.unc.edu
In prevalent cohort survival studies where subjects are recruited at a cross-section and
followed prospectively in time, the observed event times are length-biased and further follow …