Estimating survival curves with left truncated and interval censored data via the ems algorithm

DOI10.1080/03610929808832128zbMath0900.62180OpenAlexW2084559113MaRDI QIDQ4391103

Rick Chappell, Wei Pan

Publication date: 15 November 1998

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929808832128

zbMATH Keywords

EM algorithmmaximum penalized likelihoodnon-parametric maximum likelihood

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Reliability and life testing (62N05) Probabilistic methods, stochastic differential equations (65C99)

Related Items (3)

Rank invariant tests with left truncated and interval censored data ⋮ Inference concerning quantile for left truncated and right censored data ⋮ A Semiparametric Regression Method for Interval-Censored Data

Cites Work

• Some properties of adding a smoothing step to the EM algorithm
• A three-state disease model with interval-censored data: Estimation and applications to AIDS and cancer
• A note on the product-limit estimator under right censoring and left truncation
• Estimation of the survival function with increasing failure rate based on left truncated and right censored data
• A Proportional Hazards Model for Arbitrarily Censored and Truncated Data

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