Analysis of interval-censored competing risks data under missing causes

DOI10.1080/02664763.2019.1642309OpenAlexW2957278181WikidataQ127458150 ScholiaQ127458150MaRDI QIDQ5036991

Ujjwal Das, Kalyan Das, Debanjan Mitra

Publication date: 25 February 2022

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

Full work available at URL: https://doi.org/10.1080/02664763.2019.1642309

zbMATH Keywords

confidence intervalsinterval censoringmaximum likelihood estimatescompeting riskscumulative incidence functionGompertz model

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• R
• cmprsk

Cites Work

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• Inference based on the EM algorithm for the competing risks model with masked causes of failure
• Models for interval censoring and simulation-based inference for lifetime distributions
• Parametric regression on cumulative incidence function
• Nonparametric Prevalence and Mortality Estimators for Animal Experiments With Incomplete Cause-of-Death Data
• Analysis of competing risks survival data when some failure types are missing
• Nonparametric estimation from current status data with competing risks
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Parametric likelihood inference for interval censored competing risks data
• Analysis of interval censored competing risk data with missing causes of failure using pseudo values approach
• Regression Modeling of Competing Risks Data Based on Pseudovalues of the Cumulative Incidence Function
• Direct Parametric Inference for the Cumulative Incidence Function

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