Best linear inverse probability weighted estimation for two-phase designs and missing covariate regression

DOI10.1002/sim.8141zbMATH Open1546.62784WikidataQ92599759 ScholiaQ92599759MaRDI QIDQ6627168

Ching-Yun Wang, James Y. Dai

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

missing at randomtwo-phase designcase-control samplinginverse selection weighting

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Numerical equivalence of imputing scores and weighted estimators in regression analysis with missing covariates
• Semiparametric analysis of randomized response data with missing covariates in logistic regression
• A note on kernel assisted estimators in missing covariate regression
• Augmented Inverse Probability Weighted Estimator for Cox Missing Covariate Regression
• Inference and missing data
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling
• A Unified Approach to Regression Analysis Under Double-Sampling Designs
• Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse
• Weighted Estimators for Proportional Hazards Regression With Missing Covariates

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