Estimating adjusted risk differences by multiply-imputing missing control binary potential outcomes following propensity score-matching
From MaRDI portal
Publication:6628246
DOI10.1002/sim.9141zbMATH Open1546.62069MaRDI QIDQ6628246
Neal Thomas, Donald B. Rubin, Peter C. Austin
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Matching methods for causal inference: a review and a look forward
- Bayesian inference for causal effects: The role of randomization
- Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
- Using the Standardized Difference to Compare the Prevalence of a Binary Variable Between Two Groups in Observational Research
- The central role of the propensity score in observational studies for causal effects
- The Bias Due to Incomplete Matching
- Model-Based Direct Adjustment
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Multiple Imputation and its Application
- Nonparametric Analysis of Covariance by Matching
- Flexible Imputation of Missing Data, Second Edition
- Bias-Corrected Matching Estimators for Average Treatment Effects
This page was built for publication: Estimating adjusted risk differences by multiply-imputing missing control binary potential outcomes following propensity score-matching
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6628246)
