Variable selection for recurrent event data via nonconcave penalized estimating function

DOI10.1007/S10985-008-9104-2zbMath1282.62083OpenAlexW2058436605WikidataQ33387260 ScholiaQ33387260MaRDI QIDQ841054

Jianguo Sun, Liang Zhu, Xing-wei Tong

Publication date: 14 September 2009

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-008-9104-2

zbMATH Keywords

variable selectionestimating functionrecurrent event datanonconcave penalized procedureoracle procedure

Mathematics Subject Classification ID

Nonparametric estimation (62G05) General nonlinear regression (62J02)

Related Items (10)

Variable selection in the additive rate model for recurrent event data ⋮ Partial sufficient dimension reduction on joint model of recurrent and terminal events ⋮ Variable selection for recurrent event data with informative censoring ⋮ Variable selection in joint frailty models of recurrent and terminal events ⋮ Variable selection for semiparametric varying-coefficient partially linear models with missing response at random ⋮ Sufficient dimension reduction on marginal regression for gaps of recurrent events ⋮ SICA for Cox's proportional hazards model with a diverging number of parameters ⋮ Group variable selection in the Andersen-Gill model for recurrent event data ⋮ Partial sufficient dimension reduction on additive rates model for recurrent event data with high-dimensional covariates ⋮ Lasso penalized semiparametric regression on high-dimensional recurrent event data via coordinate descent

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