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Single-Index Quantile Regression with Left Truncated Data
Xu, Hongxia, Fan, Guoliang, Li, Jinchang
Published in Journal of systems science and complexity (01.10.2022)
Published in Journal of systems science and complexity (01.10.2022)
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Regression models for the restricted residual mean life for right‐censored and left‐truncated data
Cortese, Giuliana, Holmboe, Stine A., Scheike, Thomas H.
Published in Statistics in medicine (20.05.2017)
Published in Statistics in medicine (20.05.2017)
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Augmented likelihood for incorporating auxiliary information into left-truncated data
Shi, Yidan, Zeng, Leilei, Thompson, Mary E., Tyas, Suzanne L.
Published in Lifetime data analysis (01.07.2021)
Published in Lifetime data analysis (01.07.2021)
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Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data
Xu, Hong-Xia, Fan, Guo-Liang, Liang, Han-Ying
Published in Statistical papers (Berlin, Germany) (01.06.2024)
Published in Statistical papers (Berlin, Germany) (01.06.2024)
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Quantile regression and variable selection for partially linear model with randomly truncated data
Xu, Hong-Xia, Chen, Zhen-Long, Wang, Jiang-Feng, Fan, Guo-Liang
Published in Statistical papers (Berlin, Germany) (01.08.2019)
Published in Statistical papers (Berlin, Germany) (01.08.2019)
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A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model
Withana Gamage, Prabhashi W., McMahan, Christopher S., Wang, Lianming
Published in Lifetime data analysis (01.01.2023)
Published in Lifetime data analysis (01.01.2023)
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Permutation tests for general dependent truncation
Chiou, Sy Han, Qian, Jing, Mormino, Elizabeth, Betensky, Rebecca A.
Published in Computational statistics & data analysis (01.12.2018)
Published in Computational statistics & data analysis (01.12.2018)
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