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We use propensity score matching to estimate program impacts for those who participate in the program.
To address issues of self-selection into training, we use propensity score matching methods and a proxy for unobservable productivity.
In addition, they argue that matching census tracts with enterprise zones that use propensity score matching does not account for the unobservable sources of job growth differences.
Eliason and Storrie (2006); Hijzen et al. (2010) and Couch and Placzek (2010) use propensity score matching to determine the effects of job displacement.
In this study, we have decided to use propensity score-matched controls in order to minimize the confounding effect of severity of disease on acid base balance.
No randomized trials have been conducted to date; accordingly, some studies use propensity score analysis (PSA) to minimize selection bias in observational studies.
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However, we can identify important subgroups contained within the registry to use for comparative effectiveness evaluations, such as patients with and without early imaging, and use propensity-matched controls to minimize selection bias associated with treatment or diagnostic testing.
Outcomes were compared using propensity score matching.
Using propensity score-matched analysis, NIV was associated with mortality.
Section 4 proposes a sensitivity analysis using propensity score matching method.
The robustness of the reported IV estimates was also evaluated using Propensity Score Matching (PSM 10.
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