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Efficient estimation for the additive hazards model in the presence of left-truncation and interval censoring

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Publication:1747464
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DOI10.4310/SII.2015.V8.N3.A12zbMath1405.62133OpenAlexW2335101761MaRDI QIDQ1747464

Shishun Zhao, Jianguo Sun, Peijie Wang, Xing-wei Tong

Publication date: 8 May 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.4310/sii.2015.v8.n3.a12


zbMATH Keywords

left-truncationsieve maximum likelihood estimationfailure time data analysis


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Reliability and life testing (62N05)


Related Items (4)

Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data ⋮ A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model ⋮ Variable Selection for Interval‐censored Failure Time Data ⋮ Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data







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