A weighting analogue to pair matching in propensity score analysis
From MaRDI portal
Publication:6637426
DOI10.1515/ijb-2012-0030MaRDI QIDQ6637426
Publication date: 13 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
Related Items (19)
Instrumental variable estimation of weighted local average treatment effects ⋮ On variance estimation of the inverse probability-of-treatment weighting estimator: a tutorial for different types of propensity score weights ⋮ Balancing versus modelling in weighted analysis of non-randomised studies with survival outcomes: a simulation study ⋮ Targeted learning in observational studies with multi-valued treatments: an evaluation of antipsychotic drug treatment safety ⋮ Causal inference in the absence of positivity: the role of overlap weights ⋮ Propensity score analysis with local balance ⋮ Confounding adjustment in the analysis of augmented randomized controlled trial with hybrid control arm ⋮ Practical recommendations on double score matching for estimating causal effects ⋮ Flexible regression approach to propensity score analysis and its relationship with matching and weighting ⋮ Uncertainty in the design stage of two-stage Bayesian propensity score analysis ⋮ Constructing inverse probability weights for institutional comparisons in healthcare ⋮ A comparison of parametric propensity methods for causal inference with multiple treatments and a binary outcome ⋮ Using propensity scores to estimate effects of treatment initiation decisions: state of the science ⋮ Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score ⋮ Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes ⋮ Dealing with confounding in observational studies: a scoping review of methods evaluated in simulation studies with single-point exposure ⋮ Comments on: ``A weighting analogue to pair matching in propensity score analysis ⋮ Review and comparison of treatment effect estimators using propensity and prognostic scores ⋮ Hazard ratio estimators after terminating observation within matched pairs in sibling and propensity score matched designs
Cites Work
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
- Comment: Performance of double-robust estimators when ``inverse probability weights are highly variable
- Covariate balance in simple, stratified and clustered comparative studies
- Matching methods for causal inference: a review and a look forward
- Unified methods for censored longitudinal data and causality
- Semiparametric theory and missing data.
- A specification test for the propensity score using its distribution conditional on participation
- Bounded, efficient and doubly robust estimation with inverse weighting
- Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
- 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
- Flexible Parsimonious Smoothing and Additive Modeling
- Inference for imputation estimators
- Some Methods of Propensity‐Score Matching had Superior Performance to Others: Results of an Empirical Investigation and Monte Carlo simulations
- Large Sample Properties of Matching Estimators for Average Treatment Effects
- Type I error rates, coverage of confidence intervals, and variance estimation in propensity-score matched analyses
This page was built for publication: A weighting analogue to pair matching in propensity score analysis