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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 : JASA 106 (2011) 494, pp. 511-524
Persistent link: https://www.econbiz.de/10009267717
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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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Dissonant Conclusions When Testing the Validity of an Instrumental Variable
Yang, Fan; Zubizarreta, José R.; Small, Dylan S.; … - In: The American Statistician 68 (2014) 4, pp. 253-263
An instrument or instrumental variable is often used in an effort to avoid selection bias in inference about the effects of treatments when treatment choice is based on thoughtful deliberation. Instruments are increasingly used in health outcomes research. An instrument is a haphazard push to...
Persistent link: https://www.econbiz.de/10011104187
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Applications and Case Studies Building a Stronger Instrument in an Observational Study of Perinatal Lare tor Premature Infants
Baiocchi, Mike; Small, Dylan S; Lorch, Scott; … - In: Journal of the American Statistical Association : JASA 105 (2010) 492, pp. 1285-1297
Persistent link: https://www.econbiz.de/10008819041
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Robust causal inference with continuous instruments using the local instrumental variable curve
Kennedy, Edward H.; Lorch, Scott; Small, Dylan S. - In: Journal of the Royal Statistical Society: Series B … 81 (2018) 1, pp. 121-143
Persistent link: https://www.econbiz.de/10012097282
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Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools
Heng, Siyu; Small, Dylan S.; Rosenbaum, Paul R. - In: Journal of the Royal Statistical Society: Series A … 183 (2020) 3, pp. 935-958
Persistent link: https://www.econbiz.de/10012284159
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War and wages : the strength of instrumental variables and their sensitivity to unobserved biases
Small, Dylan S.; Rosenbaum, Paul R. - In: Journal of the American Statistical Association : JASA 103 (2008) 483, pp. 924-933
Persistent link: https://www.econbiz.de/10003772405
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Split samples and design sensitivity in observational studies
Heller, Ruth; Rosenbaum, Paul R.; Small, Dylan S. - In: Journal of the American Statistical Association : JASA 104 (2009) 487, pp. 1090-1101
Persistent link: https://www.econbiz.de/10003902800
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Sensitivity analysis for the cross-match test : with applications in genomics
Heller, Ruth; Jensen, Shane T.; Rosenbaum, Paul R.; … - In: Journal of the American Statistical Association : JASA 105 (2010) 491, pp. 1005-1013
Persistent link: https://www.econbiz.de/10008738017
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Randomization inference in a group-randomized trial of treatments for depression : covariate adjustment, noncompliance and quantile effects
Small, Dylan S.; Have, Thomas R. ten; Rosenbaum, Paul R. - In: Journal of the American Statistical Association : JASA 103 (2008) 481, pp. 271-279
Persistent link: https://www.econbiz.de/10003676746