Results 31 to 40 of about 263,464 (354)
Using matching methods to account for selection bias in Norway’s Primary Care Teams (PCT) pilot
Norway is piloting team-based primary care delivery models: Honorarmodellen (HM) and Driftstilskuddsmodellen (DM). In addition to organisational changes, the DM transforms provider payment, which seems to attract specific practices.
Øyvind Snilsberg
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An evaluation of the US African Growth and Opportunity Act (AGOA) trade arrangement with Sub-Saharan African countries [PDF]
This paper evaluates the impact of the US African Growth and Opportunity Act (AGOA) trade arrangement on the growth of exports from Sub-Saharan African (SSA) countries. Using several variants of propensity score matching techniques, results show that the
Busani Moyo +2 more
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Since the development of research methodology, there has always been keen interest in developing the accuracy of the research by comparing covariates.
S. Lee, K. P. Acharya
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Propensity Scores: A Practical Introduction Using R
Background: This paper provides an introduction to propensity scores for evaluation practitioners. Purpose: The purpose of this paper is to provide the reader with a conceptual and practical introduction to propensity scores, matching using propensity ...
Antonio Olmos, Priyalatha Govindasamy
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ObjectiveTo investigate the factors affecting the timing and prognosis of early tracheostomy in multiple rib fracture patients.MethodsA retrospective case-control study was used to analyze the clinical data of 222 patients with multiple rib fractures who
Bing Zhang +8 more
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In a study comparing the effects of two treatments, the propensity score is the probability of assignment to one treatment conditional on a subject's measured baseline covariates.
Peter C. Austin
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Trauma risk score matching for observational studies in orthopedic trauma dataset and code
The dataset presented was collected via retrospective review from an orthopedic trauma database approved by the institutional review board at the author's institution from patients treated at any of the four hospitals serviced by the academic orthopedic ...
Rown Parola +3 more
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Balance diagnostics after propensity score matching.
Propensity score matching (PSM) is a popular method in clinical researches to create a balanced covariate distribution between treated and untreated groups.
Wentao Bao +3 more
semanticscholar +1 more source
Propensity Score Matching: should we use it in designing observational studies? [PDF]
Propensity Score Matching (PSM) stands as a widely embraced method in comparative effectiveness research. PSM crafts matched datasets, mimicking some attributes of randomized designs, from observational data.
F. Wan
semanticscholar +1 more source
Objective The adverse effects of proton pump inhibitors (PPIs) have been documented for pneumonia; however, there is no consensus regarding whether the use of PPIs might be harmful regarding the risk of severe acute respiratory syndrome coronavirus 2 ...
Seung Won Lee +11 more
semanticscholar +1 more source

