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Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants

Baiocchi, Mike; Small, Dylan S.; Lorch, Scott; … - In: Journal of the American Statistical Association 105 (2010) 492, pp. 1285-1296

Persistent link: https://www.econbiz.de/10008783986

Split Samples and Design Sensitivity in Observational Studies

Heller, Ruth; Rosenbaum, Paul R.; Small, Dylan S. - In: Journal of the American Statistical Association 104 (2009) 487, pp. 1090-1101

Persistent link: https://www.econbiz.de/10008784111

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

Sensitivity analysis for instrumental variables regression with overidentifying restriction

Small, Dylan S. - In: Journal of the American Statistical Association : JASA 102 (2007) 479, pp. 1049-1058

Persistent link: https://www.econbiz.de/10003569159

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

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

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

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

Observational studies

Rosenbaum, Paul R. - 2002 - 2. ed.

Persistent link: https://www.econbiz.de/10001597704

Confidence intervals for causal effects with invalid instruments by using two‐stage hard thresholding with voting

Guo, Zijian; Kang, Hyunseung; Tony Cai, T.; Small, Dylan S. - In: Journal of the Royal Statistical Society: Series B … 80 (2018) 4, pp. 793-815

Persistent link: https://www.econbiz.de/10012097264