On the impact of missing outcomes in linear regression

DOI10.32372/chjs.14-01-02zbMath1527.62050OpenAlexW4382652009MaRDI QIDQ6066387

Unnamed Author, Ernesto San Martín, Unnamed Author

Publication date: 16 November 2023

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

Full work available at URL: https://doi.org/10.32372/chjs.14-01-02

zbMATH Keywords

missing at randompartial identificationignorabilitybounded coefficientsidentification bounds

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Missing data (62D10)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Minimax regret treatment choice with covariates or with limited validity of experiments
• Bounds on generalized linear predictors with incomplete outcome data
• Partial identification of probability distributions.
• Regression imputation in the functional linear model with missing values in the response
• The central role of the propensity score in observational studies for causal effects
• The role of the propensity score in estimating dose-response functions
• Selection and predictive validity with latent variable structures†
• Applied Bayesian Modeling and Causal Inference from Incomplete‐Data Perspectives
• Linear Statistical Inference and its Applications
• Credible interval estimates for official statistics with survey nonresponse
• Dissecting Chilean surveys: The missing outcomes case

This page was built for publication: On the impact of missing outcomes in linear regression