Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes

DOI10.1002/sim.9519zbMath1547.62132MaRDI QIDQ6628569

Peter C. Austin

Publication date: 29 October 2024

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

zbMATH Keywords

bootstrapvariance estimationpropensity scoreinverse probability of treatment weighting

Mathematics Subject Classification ID

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

Related Items (1)

On variance estimation of the inverse probability-of-treatment weighting estimator: a tutorial for different types of propensity score weights

Cites Work

• Unnamed Item
• Propensity score weighting for causal inference with multiple treatments
• Dealing with limited overlap in estimation of average treatment effects
• The central role of the propensity score in observational studies for causal effects
• Model-Based Direct Adjustment
• Balancing Covariates via Propensity Score Weighting
• Propensity score weighting for covariate adjustment in randomized clinical trials
• Propensity score weighting for causal subgroup analysis
• A weighting analogue to pair matching in propensity score analysis

This page was built for publication: Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes