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Confidence Intervals for Uncommon but Dramatic Responses to Treatment

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  • Paul R. Rosenbaum

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  • Paul R. Rosenbaum, 2007. "Confidence Intervals for Uncommon but Dramatic Responses to Treatment," Biometrics, The International Biometric Society, vol. 63(4), pages 1164-1171, December.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:4:p:1164-1171
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00783.x
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    References listed on IDEAS

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    1. Joseph L. Gastwirth & Abba M. Krieger & Paul R. Rosenbaum, 2000. "Asymptotic separability in sensitivity analysis," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(3), pages 545-555.
    2. Guildo W. Imbens, 2003. "Sensitivity to Exogeneity Assumptions in Program Evaluation," American Economic Review, American Economic Association, vol. 93(2), pages 126-132, May.
    3. John Copas & Shinto Eguchi, 2001. "Local sensitivity approximations for selectivity bias," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(4), pages 871-895.
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    Cited by:

    1. Paul R. Rosenbaum, 2011. "A New u-Statistic with Superior Design Sensitivity in Matched Observational Studies," Biometrics, The International Biometric Society, vol. 67(3), pages 1017-1027, September.
    2. Raiden B. Hasegawa & Sameer K. Deshpande & Dylan S. Small & Paul R. Rosenbaum, 2020. "Causal Inference With Two Versions of Treatment," Journal of Educational and Behavioral Statistics, , vol. 45(4), pages 426-445, August.
    3. Paul R. Rosenbaum, 2023. "A second evidence factor for a second control group," Biometrics, The International Biometric Society, vol. 79(4), pages 3968-3980, December.
    4. Siyu Heng & Dylan S. Small & Paul R. Rosenbaum, 2020. "Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 935-958, June.
    5. Bo Zhang & Siyu Heng & Emily J. MacKay & Ting Ye, 2022. "Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio," Biometrics, The International Biometric Society, vol. 78(4), pages 1639-1650, December.

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