Results 21 to 30 of about 46,442 (255)
European Journal of Radiology Open, 2018 Purpose: To assess the filter tilting and outcomes of the Celect and Denali inferior vena cava (IVC) filters by using a propensity score-matching analysis.
Jae Heung Bae, Sang Yub Lee
doaj +1 more source
Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles
Mathematics, 2022 Many surveys are performed using non-probability methods such as web surveys, social networks surveys, or opt-in panels. The estimates made from these data sources are usually biased and must be adjusted to make them representative of the target ...
María del Mar Rueda +2 more
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MethodsX, 2020 Users of newly marketed drugs often differ from the patients included in randomized clinical trials, and from patients prescribed similar drugs. Cohorts of such users may be compared using propensity score adjustment, or similar user cohorts may be built
Patrick Blin +5 more
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High-dimensional propensity score adjustment in HIV research using linked administrative health data
International Journal of Population Data Science, 2019 Background Despite not being collected for research purposes, linked administrative health data are increasingly being used to conduct observational epidemiologic analyses.
Taylor McLinden +2 more
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F1000Research, 2020 Background: Interest exists in whether youth e-cigarette use (“vaping”) increases risk of initiating cigarette smoking. Using Waves 1 and 2 of the US PATH study we previously reported adjustment for vaping propensity using Wave 1 variables explained ...
Peter N Lee, John S Fry
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Merits and caveats of propensity scores to adjust for confounding
Nephrology Dialysis Transplantation, 2018 AbstractProper adjustment for confounding is essential when estimating the effects of treatments or risk factors on health outcomes in observational data. To this end, various statistical methods have been developed. In the past couple of years, the use of propensity scores (PSs) to control for confounding has increased.
Fu, E.L. +5 more
openaire +4 more sources
Propensity scores with misclassified treatment assignment: a likelihood-based adjustment [PDF]
Biostatistics, 2017 Propensity score methods are widely used in comparative effectiveness research using claims data. In this context, the inaccuracy of procedural or billing codes in claims data frequently misclassifies patients into treatment groups, that is, the treatment assignment ($T$) is often measured with error. In the context of a validation data where treatment
Danielle, Braun +5 more
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Adjusting for indirectly measured confounding using large-scale propensity score
Journal of Biomedical Informatics, 2022 Confounding remains one of the major challenges to causal inference with observational data. This problem is paramount in medicine, where we would like to answer causal questions from large observational datasets like electronic health records (EHRs) and administrative claims. Modern medical data typically contain tens of thousands of covariates.
Linying Zhang +4 more
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Performance of the high-dimensional propensity score in adjusting for unmeasured confounders [PDF]
European Journal of Clinical Pharmacology, 2016 High-dimensional propensity scores (hdPS) can adjust for measured confounders, but it remains unclear how well it can adjust for unmeasured confounders. Our goal was to identify if the hdPS method could adjust for confounders which were hidden to the hdPS algorithm.The hdPS algorithm was used to estimate two hdPS; the first version (hdPS-1) was ...
Guertin, Jason R. +2 more
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A sex-specific propensity-adjusted analysis of colonic adenoma detection rates in a screening cohort
Scientific Reports, 2021 The prevalence of colorectal adenoma and advanced adenoma (AA) differs between sexes. Also, the optimal age for the first screening colonoscopy is under debate.
Sarah Wernly +8 more
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