Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random
From MaRDI portal
Publication:3632596
DOI10.1198/016214507000001058zbMath1332.62112OpenAlexW2073792557MaRDI QIDQ3632596
Donglin Zeng, Qingxia Chen, Joseph G. Ibrahim
Publication date: 12 June 2009
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/016214507000001058
Related Items (8)
Estimation in semiparametric models with missing data ⋮ Missing data methods in longitudinal studies: a review ⋮ Model selection of generalized partially linear models with missing covariates ⋮ Adjustment for Missingness Using Auxiliary Information in Semiparametric Regression ⋮ A Pseudo‐Bayesian Shrinkage Approach to Regression with Missing Covariates ⋮ Nonparametric Identification and Semiparametric Estimation of Classical Measurement Error Models Without Side Information ⋮ Nonparametric regression with selectively missing covariates ⋮ Subsample Ignorable Likelihood for Regression Analysis with Missing Data
This page was built for publication: Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random