Incorporating diagnostic accuracy into the estimation of discrete survival function

DOI10.1080/02664763.2013.830087OpenAlexW1977673475WikidataQ57446474 ScholiaQ57446474MaRDI QIDQ5128560

Abidemi K. Adeniji, Steven H. Belle, Abdus S. Wahed

Publication date: 28 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://d-scholarship.pitt.edu/13049/1/PhD_Dissertation_-_A_K__Adeniji_-_9-18-2012.pdf

zbMATH Keywords

measurement errorbinary classificationdiagnostic testingmisclassificationproduct limit estimation

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application

Uses Software

• R

Cites Work

• Analysis of Clustered and Longitudinal Binary Data Subject to Response Misclassification
• Discrete Proportional Hazards Models for Mismeasured Outcomes
• Product limit estimation for infectious disease data when the diagnostic test for the outcome is measured with uncertainty
• Survival Analysis with Uncertain Endpoints
• Bias and efficiency loss due to misclassified responses in binary regression
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large
• Unnamed Item

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