Partially pooled propensity score models for average treatment effect estimation with multilevel data-Reference-Cited by-同舟云学术

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Partially pooled propensity score models for average treatment effect estimation with multilevel data

Published:2021-09-02 Issue:4 Volume:184 Page:1578-1598
ISSN:0964-1998
Container-title:Journal of the Royal Statistical Society: Series A (Statistics in Society)
language:en
Short-container-title:J R Stat Soc Series A

Author:

Lee Youjin¹^ORCID,Nguyen Trang Q.²,Stuart Elizabeth A.²

Affiliation:

1. Brown University Providence Rhode Island USA

2. Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssa.12741

Reference36 articles.

1. Examining the Effects of Gifted Programming in Mathematics and Reading Using the ECLS-K

2. Propensity score matching with clustered data. An application to the estimation of the impact of caesarean section on the Apgar score

3. The specification of the propensity score in multilevel observational studies

4. Physical Education and Academic Achievement in Elementary School: Data From the Early Childhood Longitudinal Study

5. Using Propensity Score Analysis of Survey Data to Estimate Population Average Treatment Effects: A Case Study Comparing Different Methods

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2. Propensity Score Weighting with Missing Data on Covariates and Clustered Data Structure;Multivariate Behavioral Research;2024-02-20

3. Varying impacts of letters of recommendation on college admissions;The Annals of Applied Statistics;2023-12-01

4. A groupwise approach for inferring heterogeneous treatment effects in causal inference;Journal of the Royal Statistical Society Series A: Statistics in Society;2023-11-01

5. Designing Optimal, Data-Driven Policies from Multisite Randomized Trials;Psychometrika;2023-10-24

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