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Journal of the American Statistical Association Volume 110, 2015 - Issue 512
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Applications and Case Studies

Some Counterclaims Undermine Themselves in Observational Studies

Paul R. RosenbaumView further author information
Pages 1389-1398 | Received 01 Jun 2014, Published online: 15 Jan 2016

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Read on this site (2)

Jose R. Zubizarreta, Dylan S. Small & Paul R. Rosenbaum. (2018) A Simple Example of Isolation in Building a Natural Experiment. CHANCE 31:4, pages 16-23.
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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 (4)

Paul R. Rosenbaum. (2021) Sensitivity analyses informed by tests for bias in observational studies. Biometrics 79:1, pages 475-487.
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P R Rosenbaum & D B Rubin. (2023) Propensity scores in the design of observational studies for causal effects. Biometrika 110:1, pages 1-13.
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Paul R. RosenbaumPaul R. Rosenbaum. 2020. Design of Observational Studies. Design of Observational Studies 179 187 .
Rhian M. Daniel, Bianca L. De Stavola & Stijn Vansteelandt. (2017) The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?. International Journal of Epidemiology, pages dyw227.
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