Locally efficient estimation of regression parameters using current status data

DOI10.1016/j.jmva.2004.10.008zbMath1077.62025OpenAlexW2118115600MaRDI QIDQ2581829

Chris Andrews, Mark J. Van der Laan, James M. Robins

Publication date: 10 January 2006

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/ucbbiostat/paper111

zbMATH Keywords

RegressionOne-step estimatorAsymptotically linear estimatorCoarsening at randomExtended current status dataInfluence curve

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Nonparametric regression with current status data, Penalized log-likelihood estimation for partly linear transformation models with current status data, Regression Analysis of a Disease Onset Distribution Using Diagnosis Data, Kernel machines for current status data

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