Semiparametric efficient estimation for the auxiliary outcome problem with the conditional mean model

DOI10.2307/3316021zbMath1059.62007OpenAlexW2145140835MaRDI QIDQ4673114

Norman E. Breslow, Jinbo Chen

Publication date: 29 April 2005

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

Full work available at URL: https://semanticscholar.org/paper/480a8dafddcf52ad8488ab1ba3592f201809c4a3

zbMATH Keywords

missing at randomHorvitz-Thompson estimatorauxiliary outcomeconditional mean model

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Related Items (8)

Multiply Robust Estimation in Regression Analysis With Missing Data ⋮ Semiparametric estimation of logistic regression model with missing covariates and outcome ⋮ Semiparametric efficiency in GMM models with auxiliary data ⋮ A note on improving the efficiency of inverse probability weighted estimator using the augmentation term ⋮ A Multiphase Design Strategy for Dealing with Participation Bias ⋮ An alternative to unrelated randomized response techniques with logistic regression analysis ⋮ Estimation of regression parameters in missing data problems ⋮ Improving Semiparametric Estimation by Using Surrogate Data

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