Propensity scores: From naïve enthusiasm to intuitive understanding
From MaRDI portal
Publication:2894112
DOI10.1177/0962280210394483zbMath1242.62124OpenAlexW1980027106WikidataQ39790382 ScholiaQ39790382MaRDI QIDQ2894112
James Carpenter, Alan Lucas, Ruth Morley, Elizabeth J. Williamson
Publication date: 28 June 2012
Published in: Statistical Methods in Medical Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1177/0962280210394483
Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)
Related Items (6)
The role of statistics in the era of big data: electronic health records for healthcare research ⋮ Causal inference in case of near‐violation of positivity: comparison of methods ⋮ A latent class model to multiply impute missing treatment indicators in observational studies when inferences of the treatment effect are made using propensity score matching ⋮ Comparison of Type I error rates and statistical power of different propensity score methods ⋮ Comparison of clustering algorithms on generalized propensity score in observational studies: a simulation study ⋮ Is Early Smoking a Causal Risk Factor for Later Cognitive Impairment? A 20-year Prospective Study with Time-varying Propensity Score Matching Based on Random Intercept and Slope
Cites Work
- Estimating and using propensity score in presence of missing background data: an application to assess the impact of childbearing on wellbeing
- Confounding and collapsibility in causal inference
- The central role of the propensity score in observational studies for causal effects
- Bias Reduction Using Mahalanobis-Metric Matching
- The role of the propensity score in estimating dose-response functions
- Characterizing Selection Bias Using Experimental Data
- Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders
- Propensity score modeling strategies for the causal analysis of observational data
This page was built for publication: Propensity scores: From naïve enthusiasm to intuitive understanding
