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Observational studies
Rosenbaum, Paul R. - 2002 - 2. ed.
Persistent link: https://www.econbiz.de/10001597704
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Design sensitivity and efficiency in observational studies
Rosenbaum, Paul R. - In: Journal of the American Statistical Association : JASA 105 (2010) 490, pp. 692-702
Persistent link: https://www.econbiz.de/10008736859
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The consequences of adjustment for a concomitant variable that has been affected by the treatment
Rosenbaum, Paul R. - In: Journal of the Royal Statistical Society 147 (1984) 5, pp. 656-666
Persistent link: https://www.econbiz.de/10003675906
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Interference between units in randomized experiments
Rosenbaum, Paul R. - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 191-200
Persistent link: https://www.econbiz.de/10003430882
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Exact, nonparametric inference when doses are measured with random errors
Rosenbaum, Paul R. - In: Journal of the American Statistical Association : JASA 100 (2005) 470, pp. 511-518
Persistent link: https://www.econbiz.de/10002929243
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Using the Cross-Match Test to Appraise Covariate Balance in Matched Pairs
Heller, Ruth; Rosenbaum, Paul R.; Small, Dylan S. - In: The American Statistician 64 (2010) 4, pp. 299-309
Persistent link: https://www.econbiz.de/10009357982
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Structured Testing of 2×2 Factorial Effects: An Analytic Plan Requiring Fewer Observations
Small, Dylan S.; Volpp, Kevin G.; Rosenbaum, Paul R. - In: The American Statistician 65 (2011) 1, pp. 11-15
Persistent link: https://www.econbiz.de/10009357983
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Using Split Samples and Evidence Factors in an Observational Study of Neonatal Outcomes
Zhang, Kai; Small, Dylan S.; Lorch, Scott; Srinivas, Sindhu - In: Journal of the American Statistical Association 106 (2011) 494, pp. 511-524
Persistent link: https://www.econbiz.de/10009358120
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Some Approximate Evidence Factors in Observational Studies
Rosenbaum, Paul R. - In: Journal of the American Statistical Association 106 (2011) 493, pp. 285-295
Persistent link: https://www.econbiz.de/10009358722
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Evidence factors in observational studies
Rosenbaum, Paul R. - In: Biometrika 97 (2010) 2, pp. 333-345
Some experiments involve more than one random assignment of treatments to units. An analogous situation arises in certain observational studies, although randomization is not used, so each assignment may be biased. If each assignment is suspect, it is natural to ask whether there are separate...
Persistent link: https://www.econbiz.de/10008675557