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Confounding: Propensity score adjustment
Nutrition, 2006In earlier columns [1–3], I highlighted how the determiation of the association between an exposure (e.g., vitamin supplementation) and a disease (e.g., coronary heart disase [CHD]) is not quite so straightforward as it might first ppear. In particular, confounding variables very often obcure the association of real scientific interest. For instance, n
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Application of a propensity score to adjust for channelling bias with NSAIDs
Pharmacoepidemiology and Drug Safety, 2004AbstractPurposeTo compare the relative risks of upper GI haemorrhage (UGIH) in users of Newer versus Older, non‐specific NSAIDs when adjusted for channelling bias by regression on individual covariates, a propensity score and both.MethodsCohort study of patients prescribed NSAIDs between June 1987 and January 2000.
Morant, Steve V. +4 more
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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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Using propensity score adjustment method in genetic association studies
Computational Biology and Chemistry, 2016The statistical tests for single locus disease association are mostly under-powered. If a disease associated causal single nucleotide polymorphism (SNP) operates essentially through a complex mechanism that involves multiple SNPs or possible environmental factors, its effect might be missed if the causal SNP is studied in isolation without accounting ...
Amrita Sengupta Chattopadhyay +5 more
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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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Statistics in Medicine, 2012
Longitudinal observational studies provide rich opportunities to examine treatment effectiveness during the course of a chronic illness. However, there are threats to the validity of observational inferences. For instance, clinician judgment and self‐selection play key roles in treatment assignment.
Andrew C, Leon +3 more
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Longitudinal observational studies provide rich opportunities to examine treatment effectiveness during the course of a chronic illness. However, there are threats to the validity of observational inferences. For instance, clinician judgment and self‐selection play key roles in treatment assignment.
Andrew C, Leon +3 more
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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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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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A propensity score adjustment method for regression models with nonignorable missing covariates
Computational Statistics & Data Analysis, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Depeng Jiang +2 more
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Covariate Adjustment and Propensity Score—Reply
JAMA, 2016Jason S, Haukoos, Roger J, Lewis
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