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Journal of the American Statistical Association Volume 107, 2012 - Issue 499
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Applications and Case Studies

Contrasting Evidence Within and Between Institutions That Provide Treatment in an Observational Study of Alternate Forms of Anesthesia

José R. Zubizarreta Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA, 19104-6340
,
Mark Neuman Department of Anesthesiology, University of Pennsylvania School of Medicine, Philadelphia, PA, 19104-6340
,
Jeffrey H. Silber Center for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104
&
Paul R. Rosenbaum Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA, 19104-6340
Pages 901-915 | Received 01 Jan 2011, Published online: 08 Oct 2012

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Read on this site (3)

Bikram Karmakar, Dylan S. Small & Paul R. Rosenbaum. (2021) Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools. Journal of the American Statistical Association 116:533, pages 82-92.
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Giovanni Nattino, Bo Lu, Junxin Shi, Stanley Lemeshow & Henry Xiang. (2021) Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level. Journal of the American Statistical Association 116:533, pages 44-53.
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Samuel D. Pimentel, Dylan S. Small & Paul R. Rosenbaum. (2016) Constructed Second Control Groups and Attenuation of Unmeasured Biases. Journal of the American Statistical Association 111:515, pages 1157-1167.
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Articles from other publishers (11)

Anqi Zhao, Youjin Lee, Dylan S. Small & Bikram Karmakar. (2022) Evidence factors from multiple, possibly invalid, instrumental variables. The Annals of Statistics 50:3.
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Bikram Karmakar & Dylan S. Small. (2020) Assessment of the extent of corroboration of an elaborate theory of a causal hypothesis using partial conjunctions of evidence factors. The Annals of Statistics 48:6.
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Bikram Karmakar, Chyke A. Doubeni & Dylan S. Small. (2020) Evidence factors in a case-control study with application to the effect of flexible sigmoidoscopy screening on colorectal cancer. The Annals of Applied Statistics 14:2.
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Paul R. Rosenbaum. (2020) Modern Algorithms for Matching in Observational Studies. Annual Review of Statistics and Its Application 7:1, pages 143-176.
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Bikram Karmakar, Dylan S Small & Paul R Rosenbaum. (2020) Using Evidence Factors to Clarify Exposure Biomarkers. American Journal of Epidemiology 189:3, pages 243-249.
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Paul R. RosenbaumPaul R. Rosenbaum. 2020. Design of Observational Studies. Design of Observational Studies 415 444 .
B Karmakar, B French & D S Small. (2019) Integrating the evidence from evidence factors in observational studies. Biometrika 106:2, pages 353-367.
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Bikram Karmakar, Ruth Heller & Dylan S. Small. (2018) False discovery rate control for effect modification in observational studies. Electronic Journal of Statistics 12:2.
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Paul R. Rosenbaum. (2017) The General Structure of Evidence Factors in Observational Studies. Statistical Science 32:4.
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Paul R. Rosenbaum. (2015) How to See More in Observational Studies: Some New Quasi-Experimental Devices. Annual Review of Statistics and Its Application 2:1, pages 21-48.
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Jeffrey H. Silber, Paul R. RosenbaumRichard N. Ross, Orit Even-ShoshanRachel R. Kelz, Mark D. Neuman, Caroline E. ReinkeJustin M. Ludwig, Fabienne A. KyleDale W. BratzlerLee A. Fleisher. (2013) Racial Disparities in Operative Procedure Time. Anesthesiology 119:1, pages 43-51.
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