Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score-Reference-Cited by-同舟云学术

Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score

Published:2021-04-07 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Liao Jiangang¹^ORCID,Rohde Charles²

Affiliation:

1. Division of Biostatistics and Bioinformatics Penn State University Hershey Pennsylvania USA

2. Department of Biostatistics Johns Hopkins University Baltimore Maryland USA

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13454

Reference23 articles.

1. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

2. New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators

3. Rao-Blackwellisation of sampling schemes

4. Dealing with limited overlap in estimation of average treatment effects

5. Bootstrap Methods and their Application

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On variance estimation of the inverse probability‐of‐treatment weighting estimator: A tutorial for different types of propensity score weights;Statistics in Medicine;2024-04-15

2. Multiply robust estimation of the average treatment effect with missing outcomes;Journal of Statistical Computation and Simulation;2022-11-23