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1“...The propensity score is a balancing score: conditional on the propensity score, treated and untreated subjects have the same distribution of observed baseline...”
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2by Austin, Peter C Published in Statistics in medicine (15.03.2014)“...Propensity‐score matching is increasingly being used to reduce the confounding that can occur in observational studies examining the effects of treatments or...”
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3by Austin, Peter C Published in Statistics in medicine (10.11.2009)“...The propensity score is a subject's probability of treatment, conditional on observed baseline covariates. Conditional on the true propensity score, treated...”
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4by Austin, Peter C Published in Pharmaceutical statistics : the journal of the pharmaceutical industry (01.03.2011)“...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...”
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5“...Propensity‐score matching is frequently used to estimate the effect of treatments, exposures, and interventions when using observational data. An important...”
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6by Shipman, Jonathan E Swanquist, Quinn T Whited, Robert L Published in The Accounting review (01.01.2017)“...ABSTRACT Propensity score matching (PSM) has become a popular technique for estimating average treatment effects (ATEs) in accounting research. In this study,...”
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7by Austin, Peter C Published in Statistics in medicine (10.09.2010)“...Propensity score methods are increasingly being used to estimate the effects of treatments on health outcomes using observational data. There are four methods...”
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8by Austin, Peter C Published in Statistics in medicine (30.03.2014)“...Propensity score methods are increasingly being used to estimate causal treatment effects in observational studies. In medical and epidemiological studies,...”
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9by Lalani, Tahaniyat Chu, Vivian H Park, Lawrence P Cecchi, Enrico Corey, G. Ralph Durante-Mangoni, Emanuele Fowler, Vance G Gordon, David Grossi, Paolo Hannan, Margaret Hoen, Bruno Muñoz, Patricia Rizk, Hussien Kanj, Souha S Selton-Suty, Christine Sexton, Daniel J Spelman, Denis Ravasio, Veronica Tripodi, Marie Françoise Wang, Andrew Published in JAMA internal medicine (09.09.2013)“...IMPORTANCE There are limited prospective, controlled data evaluating survival in patients receiving early surgery vs medical therapy for prosthetic valve...”
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10by Austin, Peter C Published in Statistics in medicine (20.05.2011)“...Propensity‐score matching allows one to reduce the effects of treatment‐selection bias or confounding when estimating the effects of treatments when using...”
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11by Yoshida, Kazuki Solomon, Daniel H Haneuse, Sebastien Kim, Seoyoung C Patorno, Elisabetta Tedeschi, Sara K Lyu, Houchen Franklin, Jessica M Stürmer, Til Hernández-Díaz, Sonia Glynn, Robert J Published in American journal of epidemiology (01.03.2019)“...Abstract Crump et al. (Biometrika. 2009;96(1):187–199), Stürmer et al. (Am J Epidemiol. 2010;172(7):843–854), and Walker et al. (Comp Eff Res...”
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12by Austin, Peter C Published in Biometrical journal (01.02.2009)“...Propensity‐score matching is increasingly being used to reduce the impact of treatment‐selection bias when estimating causal treatment effects using...”
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13by Klompmaker, Sjors van Hilst, Jony Wellner, Ulrich F Busch, Olivier R Coratti, Andrea D’Hondt, Mathieu Dokmak, Safi Festen, Sebastiaan Kerem, Mustafa Khatkov, Igor Lips, Daan J Lombardo, Carlo Luyer, Misha Manzoni, Alberto Molenaar, Izaäk Q Rosso, Edoardo Saint-Marc, Olivier Vansteenkiste, Franky Wittel, Uwe A Bonsing, Bert Groot Koerkamp, Bas Abu Hilal, Mohammed Fuks, David Poves, Ignasi Keck, Tobias Boggi, Ugo Besselink, Marc G Published in Annals of surgery (2020)“...OBJECTIVE: To assess short-term outcomes after minimally invasive (laparoscopic, robot-assisted, and hybrid) pancreatoduodenectomy (MIPD) versus open...”
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14by Amoah, Joe Stuart, Elizabeth A Cosgrove, Sara E Harris, Anthony D Han, Jennifer H Lautenbach, Ebbing Tamma, Pranita D Published in Clinical infectious diseases (18.02.2020)“...Propensity score methods are increasingly used in the infectious diseases literature to estimate causal effects from observational data. However, there remains...”
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15by van Outeren, M.V Waarsing, Jan Brouwer, Reinoud Verhaar, Jan Reijman, Max Bierma-Zeinstra, Sita Published in Osteoarthritis and cartilage (01.01.2017)“...Objective: No randomized controlled trial (RCT) has compared the high tibial osteotomy (HTO) with non-surgical treatment in patients with medial knee...”
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16“...We investigated the effects of privatization on hospital efficiency in Germany. To do so, we obtained bootstrapped data envelopment analysis (DEA) efficiency...”
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17“...The research in this paper gives a systematic investigation of the asymptotic behaviors of four inverse probability weighting (IPW)-based estimators for...”
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18by Pezzi, Todd A Mohamed, Abdallah S. R Sheu, Tommy Blanchard, Pierre Sandulache, Vlad C Lai, Stephen Y Cabanillas, Maria E Williams, Michelle D Pezzi, Christopher M Lu, Charles Garden, Adam S Morrison, William H Rosenthal, David I Fuller, Clifton D Gunn, G. Brandon Published in Cancer (01.05.2017)“...BACKGROUND The outcomes of patients with unresected anaplastic thyroid carcinoma (ATC) from the National Cancer Data Base (NCDB) were assessed, and potential...”
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19by Desai, Rishi J Rothman, Kenneth J Bateman, Brian .T Hernandez-Diaz, Sonia Huybrechts, Krista F Published in Epidemiology (Cambridge, Mass.) (01.03.2017)“...BACKGROUND:When exposure is infrequent, propensity-score matching results in reduced precision because it discards a large proportion of unexposed patients. To...”
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20“...Despite its increasing use, little is known about the effect of electronic cigarette. This study estimates the impact of the use of electronic cigarettes on...”