A class of semiparametric transformation cure models for interval-censored failure time data
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Publication:1727901
DOI10.1016/j.csda.2018.09.008OpenAlexW2896304347WikidataQ129158981 ScholiaQ129158981MaRDI QIDQ1727901
Tao Hu, Jianguo Sun, Shuwei Li, Xingqiu Zhao
Publication date: 21 February 2019
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2018.09.008
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
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An additive hazards cure model with informative interval censoring, Efficient nonparametric estimation of distribution for current status censoring, Sharp minimax distribution estimation for current status censoring with or without missing, Variable Selection for Interval‐censored Failure Time Data, Semiparametric analysis of case K interval-censored failure time data in the presence of a cured subgroup and informative censoring
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