Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” by Zhou, Elliott, and Little

DOI10.1080/01621459.2018.1537916zbMath1418.62178OpenAlexW4289021781MaRDI QIDQ5229886

Shu Yang, Donglin Zeng

Publication date: 19 August 2019

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.17615/w26e-9n75

zbMATH Keywords

Bayesian nonparametricsregressionmissing datacausal inference

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Generalized linear models (logistic models) (62J12) Statistical sampling theory and related topics (62D99)

Cites Work

• Unnamed Item
• Unnamed Item
• Structural nested models and G-estimation: the partially realized promise
• Estimating marginal survival function by adjusting for dependent censoring using many co\-var\-i\-ates
• Adjustment for Missingness Using Auxiliary Information in Semiparametric Regression
• Sensitivity Analysis for Unmeasured Confounding in Coarse Structural Nested Mean Models
• A goodness-of-fit test for structural nested mean models

This page was built for publication: Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” by Zhou, Elliott, and Little