Efficient Estimation of the Partly Linear Additive Hazards Model with Current Status Data

DOI10.1111/sjos.12108zbMath1364.62195OpenAlexW2048608576MaRDI QIDQ5177964

Peter X.-K. Song, Xuewen Lu

Publication date: 9 March 2015

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2027.42/110752

zbMATH Keywords

rate of convergencesplinessieve methodbackfittingsemiparametric information bound

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (8)

Modelling and analysis of recall-based competing risks data ⋮ A new method for regression analysis of interval-censored data with the additive hazards model ⋮ Partially linear single-index proportional hazards model with current status data ⋮ Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data ⋮ Estimation of linear transformation cure models with informatively interval-censored failure time data ⋮ Estimation of partly linear additive hazards model with left-truncated and right-censored data ⋮ Estimation of partially linear single-index additive hazards model with current status data ⋮ Efficient estimation of semiparametric varying-coefficient partially linear transformation model with current status data

Uses Software

• ElemStatLearn

Cites Work

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