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Comment: The Design and Analysis of Gold Standard Randomized Experiments

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  • Rubin, Donald B.

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  • Rubin, Donald B., 2008. "Comment: The Design and Analysis of Gold Standard Randomized Experiments," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1350-1353.
  • Handle: RePEc:bes:jnlasa:v:103:i:484:y:2008:p:1350-1353
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    Cited by:

    1. Lijuan Tao & Xiaoju Wei & Wenjing Wang, 2023. "Does Enterprise Internal Control Improve Environmental Performance—Empirical Evidence from China," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    2. Yasemin Kisbu-Sakarya & Thomas D. Cook & Yang Tang & M. H. Clark, 2018. "Comparative Regression Discontinuity: A Stress Test With Small Samples," Evaluation Review, , vol. 42(1), pages 111-143, February.
    3. Gouri Shankar Mishra & Patricia L. Mokhtarian & Regina R. Clewlow & Keith F. Widaman, 2019. "Addressing the joint occurrence of self-selection and simultaneity biases in the estimation of program effects based on cross-sectional observational surveys: case study of travel behavior effects in ," Transportation, Springer, vol. 46(1), pages 95-123, February.
    4. Xiaofeng Liu, 2013. "Sample size determination for the confidence interval of mean comparison adjusted by multiple covariates," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(2), pages 155-166, June.
    5. Zhenzhen Xu & John D. Kalbfleisch, 2013. "Repeated Randomization and Matching in Multi-Arm Trials," Biometrics, The International Biometric Society, vol. 69(4), pages 949-959, December.
    6. Jared Coopersmith & Thomas D. Cook & Jelena Zurovac & Duncan Chaplin & Lauren V. Forrow, 2022. "Internal And External Validity Of The Comparative Interrupted Time‐Series Design: A Meta‐Analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 252-277, January.
    7. Goldberg, Matthew H., 2019. "How often does random assignment fail? Estimates and recommendations," OSF Preprints s2j4r, Center for Open Science.
    8. Sarah Tahamont & Zubin Jelveh & Aaron Chalfin & Shi Yan & Benjamin Hansen, 2019. "Administrative Data Linking and Statistical Power Problems in Randomized Experiments," NBER Working Papers 25657, National Bureau of Economic Research, Inc.
    9. Ke Zhu & Hanzhong Liu, 2023. "Pair‐switching rerandomization," Biometrics, The International Biometric Society, vol. 79(3), pages 2127-2142, September.
    10. Jake Anders & Francesca Foliano & Matt Bursnall & Richard Dorsett & Nathan Hudson & Johnny Runge & Stefan Speckesser, 2021. "The effect of embedding foramtive assesment on pupil attainment," CEPEO Working Paper Series 21-10, UCL Centre for Education Policy and Equalising Opportunities, revised Nov 2021.
    11. Travis St.Clair & Kelly Hallberg & Thomas D. Cook, 2016. "The Validity and Precision of the Comparative Interrupted Time-Series Design," Journal of Educational and Behavioral Statistics, , vol. 41(3), pages 269-299, June.
    12. Julia Muschallik & Kerstin Pull, 2016. "Mentoring in higher education: does it enhance mentees’ research productivity?," Education Economics, Taylor & Francis Journals, vol. 24(2), pages 210-223, April.
    13. Kari Lock Morgan & Donald B. Rubin, 2015. "Rerandomization to Balance Tiers of Covariates," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1412-1421, December.
    14. Xiaofeng Steven Liu, 2010. "Sample Size for Confidence Interval of Covariate-Adjusted Mean Difference," Journal of Educational and Behavioral Statistics, , vol. 35(6), pages 714-725, December.
    15. Alexandre Marcellesi & Nancy Cartwright, 2013. "Modeling climate mitigation and adaptation policies to predict their effectiveness: The limits of randomized controlled trials," GRI Working Papers 120, Grantham Research Institute on Climate Change and the Environment.

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