Semiparametric estimation of the occurrence rate for prevalent survival data in competing risk models

DOI10.1080/00949650802031134zbMath1184.62170OpenAlexW2136268155MaRDI QIDQ3638524

Pao-sheng Shen

Publication date: 27 October 2009

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650802031134

zbMATH Keywords

EM algorithmmaximum likelihood estimationoccurrence probabilities

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Cites Work

• Generalized Pearson-Fisher chi-square goodness-of-fit tests, with applications to models with life history data
• Estimating the Occurrence Rate for Prevalent Survival Data in Competing Risks Models
• A Semiparametric Model for Randomly Truncated Data
• Multiplicative censoring, renewal processes, deconvolution and decreasing density: Nonparametric estimation
• Nonparametric Estimation from Cross-Sectional Survival Data
• Nonparametric Estimation of Specific Occurrence/Exposure Rate in Risk and Survival Analysis
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Length-Biased Sampling With Right Censoring

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