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Surprising Causes: Propensity-adjusted Treatment Scores for Multimethod Case Selection
Sociological Methods & Research, 2021Scholarship on multimethod case selection in the social sciences has developed rapidly in recent years, but many possibilities remain unexplored. This essay introduces an attractive and advantageous new alternative, involving the selection of extreme cases on the treatment variable, net of the statistical influence of the set of known control ...
Daniel J. Galvin, Jason N. Seawright
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A Propensity Score Adjustment for Multiple Group Structural Equation Modeling
Psychometrika, 2006In the behavioral and social sciences, quasi-experimental and observational studies are used due to the difficulty achieving a random assignment. However, the estimation of differences between groups in observational studies frequently suffers from bias due to differences in the distributions of covariates.
Hoshino, Takahiro +2 more
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Sociological Methods & Research, 2009
A combination of propensity score and calibration adjustment is shown to reduce bias in volunteer panel Web surveys. In this combination, the design weights are adjusted by propensity scores to correct for selection bias due to nonrandomized sampling.
Sunghee Lee, Richard Valliant
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A combination of propensity score and calibration adjustment is shown to reduce bias in volunteer panel Web surveys. In this combination, the design weights are adjusted by propensity scores to correct for selection bias due to nonrandomized sampling.
Sunghee Lee, Richard Valliant
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On regression adjustment for the propensity score.
Statistics in medicine, 2015Propensity scores are widely adopted in observational research because they enable adjustment for high-dimensional confounders without requiring models for their association with the outcome of interest. The results of statistical analyses based on stratification, matching or inverse weighting by the propensity score are therefore less susceptible to ...
S, Vansteelandt, R M, Daniel
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An evaluation of bias in propensity score-adjusted non-linear regression models
Statistical Methods in Medical Research, 2016Propensity score methods are commonly used to adjust for observed confounding when estimating the conditional treatment effect in observational studies. One popular method, covariate adjustment of the propensity score in a regression model, has been empirically shown to be biased in non-linear models.
Fei, Wan, Nandita, Mitra
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Epidemiology, 2019
After propensity score (PS) matching, inverse probability weighting, and stratification or regression adjustment for PS, one may compare different exposure groups with or without further covariate adjustment. In the former case, although a typical application uses the same set of covariates in the PS and the stratification post-PS balancing, several ...
Tomohiro, Shinozaki, Masanori, Nojima
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After propensity score (PS) matching, inverse probability weighting, and stratification or regression adjustment for PS, one may compare different exposure groups with or without further covariate adjustment. In the former case, although a typical application uses the same set of covariates in the PS and the stratification post-PS balancing, several ...
Tomohiro, Shinozaki, Masanori, Nojima
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Outcome of thrombus aspiration in STEMI patients: a propensity score-adjusted study
Journal of Thrombosis and Thrombolysis, 2017The use of thrombus aspiration (TA) prior to primary percutaneous coronary intervention (PPCI) has undergone a radical change in intervention guidelines. The clinical implications, however, are still under scrutiny. This study investigated the clinical effects and outcome of TA before PPCI in patients with ST-segment elevation myocardial infarction ...
Johannes, Blumenstein +14 more
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Pharmacoepidemiology and Drug Safety, 2008
AbstractThe propensity score is defined to be a subject's probability of treatment selection, conditional on observed baseline covariates. Conditional on the propensity score, treated and untreated subjects have similar distributions of observed baseline covariates.
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AbstractThe propensity score is defined to be a subject's probability of treatment selection, conditional on observed baseline covariates. Conditional on the propensity score, treated and untreated subjects have similar distributions of observed baseline covariates.
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Reducing the Bias in Online Reviews Using Propensity Score Adjustment
Cornell Hospitality QuarterlyOnline hotel reviews on platforms like TripAdvisor are crucial in shaping customer choices and steering business strategies in the hospitality sector. However, the effectiveness of these platforms is partially hindered by the self-selection bias found in voluntary reviews.
Saram Han, Daria Mikhailova
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Covariate Adjustment and Propensity Score—Reply
JAMA, 2016Jason S, Haukoos, Roger J, Lewis
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