Results 11 to 20 of about 92,422 (264)
Propensity Scores: A Practical Introduction Using R
Journal of MultiDisciplinary Evaluation, 2015 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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Frontiers in Surgery, 2022 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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Trauma risk score matching for observational studies in orthopedic trauma dataset and code
Data in Brief, 2022 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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Propensity score matching and randomization
Journal of Clinical Epidemiology, 2015 We used elective total joint replacement (TJR) as a case study to demonstrate selection bias toward offering this procedure to younger and healthier patients.Longitudinal data from 2,202 men were integrated with hospital data and mortality records. Study participants were followed from recruitment (1996-1999) until TJR, death, or 2007 (end of follow-up)
Mnatzaganian, George +3 more
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Iterations for Propensity Score Matching in MonetDB [PDF]
, 2020 The amount of data that is stored in databases and must be analyzed is growing fast. Many analytical tasks are based on iterative methods that approximate optimal solutions. Propensity score matching is a technique that is used to reduce bias during cohort building.
Michael H. Böhlen +5 more
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Lecturas de Economía, 2011 Una propuesta metodológica para estimar los cambios sobre el valor de la propiedad: estudio de caso para Bogotá aplicando Propensity Score Matching y Precios Hedónicos Espaciales Resumen: El objetivo principal de este estudio consiste en analizar y ...
Jorge Andrés Perdomo Calvo
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Glucocorticoids in acute pancreatitis: a propensity score matching analysis
BMC Gastroenterology, 2021 Background There are few reports about the effect of glucocorticoids in the treatment of acute pancreatitis in humans. This study aims to evaluate the effect of glucocorticoids in the treatment of acute pancreatitis by propensity score matching analysis.
Meng Wang, Zongxing Jiang, Hongyin Liang
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BMC Medical Research Methodology, 2016 Background Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear.
Jason R. Guertin +3 more
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Matching using semiparametric propensity scores [PDF]
Empirical Economics, 2012 This paper considers the application of semiparametric methods to estimate propensity scores or probabilities of program participation, which are central to certain program evaluation methods. To evaluate the practical benefits, we first conduct a Monte Carlo study. Second, we use data from the NSW experiment, CPS, and PSID. We compare treatment effect
Steven Lehrer, Gregory Kordas
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Propensity score matching and complex surveys [PDF]
Statistical Methods in Medical Research, 2016 Researchers are increasingly using complex population-based sample surveys to estimate the effects of treatments, exposures and interventions. In such analyses, statistical methods are essential to minimize the effect of confounding due to measured covariates, as treated subjects frequently differ from control subjects.
Austin, Peter C +2 more
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