The pursuit of balance in sequential randomized trials
Author
Abstract
Suggested Citation
DOI: 10.1016/j.deveng.2015.11.001
Download full text from publisher
References listed on IDEAS
- Silvio S. Zocchi & Anthony C. Atkinson, 1999. "Optimum Experimental Designs for Multinomial Logistic Models," Biometrics, The International Biometric Society, vol. 55(2), pages 437-444, June.
- Lori Beaman & Jeremy Magruder, 2012. "Who Gets the Job Referral? Evidence from a Social Networks Experiment," American Economic Review, American Economic Association, vol. 102(7), pages 3574-3593, December.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018.
"Inference Under Covariate-Adaptive Randomization,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(524), pages 1784-1796, October.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2015. "Inference under covariate-adaptive randomization," CeMMAP working papers 45/15, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization," CeMMAP working papers CWP25/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2016. "Inference under Covariate-Adaptive Randomization," CeMMAP working papers CWP21/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2016. "Inference under Covariate-Adaptive Randomization," CeMMAP working papers 21/16, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization," CeMMAP working papers 25/17, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2015. "Inference under covariate-adaptive randomization," CeMMAP working papers CWP45/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- James Berry & Greg Fischer & Raymond Guiteras, 2020.
"Eliciting and Utilizing Willingness to Pay: Evidence from Field Trials in Northern Ghana,"
Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1436-1473.
- Fischer, Gregory & Berry, James & Guiteras, Raymond, 2012. "Eliciting and utilizing willingness to pay: evidence from field trials in Northern Ghana," LSE Research Online Documents on Economics 47913, London School of Economics and Political Science, LSE Library.
- Berry, James & Fischer, Gregory & Guiteras, Raymond, 2020. "Eliciting and utilizing willingness to pay: evidence from field trials in northern Ghana," LSE Research Online Documents on Economics 100236, London School of Economics and Political Science, LSE Library.
- James Berry & Greg Fischer & Raymond Guiteras, 2018. "Eliciting and Utilizing Willingness-to-pay: Evidence from Field Trials in Northern Ghana," STICERD - Economic Organisation and Public Policy Discussion Papers Series 066, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Berry, James & Fischer, Greg & Guiteras, Raymond, 2015. "Eliciting and Utilizing Willingness to Pay: Evidence from Field Trials in Northern Ghana," CEPR Discussion Papers 10703, C.E.P.R. Discussion Papers.
- Berry, James & Fischer, Greg & Guiteras, Raymond P., 2018. "Eliciting and Utilizing Willingness-to-Pay: Evidence from Field Trials in Northern Ghana," CEnREP Working Papers 273077, North Carolina State University, Department of Agricultural and Resource Economics.
- Anthony C. Atkinson, 2002. "The comparison of designs for sequential clinical trials with covariate information," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 349-373, June.
- Dimitris Bertsimas & Mac Johnson & Nathan Kallus, 2015. "The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples," Operations Research, INFORMS, vol. 63(4), pages 868-876, August.
- Jun Shao & Xinxin Yu & Bob Zhong, 2010. "A theory for testing hypotheses under covariate-adaptive randomization," Biometrika, Biometrika Trust, vol. 97(2), pages 347-360.
- Jun Shao & Xinxin Yu, 2013. "Validity of Tests under Covariate-Adaptive Biased Coin Randomization and Generalized Linear Models," Biometrics, The International Biometric Society, vol. 69(4), pages 960-969, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Massimiliano Russo & Steffen Ventz & Victoria Wang & Lorenzo Trippa, 2023. "Inference in response‐adaptive clinical trials when the enrolled population varies over time," Biometrics, The International Biometric Society, vol. 79(1), pages 381-393, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Tong Wang & Wei Ma, 2021. "The impact of misclassification on covariate‐adaptive randomized clinical trials," Biometrics, The International Biometric Society, vol. 77(2), pages 451-464, June.
- Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023.
"Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 758-776.
- Liang Jiang & Xiaobin Liu & Peter C.B. Phillips & Yichong Zhang, 2021. "Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations," Cowles Foundation Discussion Papers 2288, Cowles Foundation for Research in Economics, Yale University.
- Liang Jiang & Peter C. B. Phillips & Yubo Tao & Yichong Zhang, 2021. "Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations," Papers 2105.14752, arXiv.org, revised Sep 2022.
- Liang Jiang & Oliver B. Linton & Haihan Tang & Yichong Zhang, 2022. "Improving Estimation Efficiency via Regression-Adjustment in Covariate-Adaptive Randomizations with Imperfect Compliance," Papers 2201.13004, arXiv.org, revised Jun 2023.
- Yichong Zhang & Xin Zheng, 2020. "Quantile treatment effects and bootstrap inference under covariate‐adaptive randomization," Quantitative Economics, Econometric Society, vol. 11(3), pages 957-982, July.
- Ting Ye & Jun Shao, 2020. "Robust tests for treatment effect in survival analysis under covariate‐adaptive randomization," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(5), pages 1301-1323, December.
- Raymond P. Guiteras & B. Kelsey Jack, 2014. "Incentives, Selection and Productivity in Labor Markets: Evidence from Rural Malawi," NBER Working Papers 19825, National Bureau of Economic Research, Inc.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2018.
"Inference Under Covariate-Adaptive Randomization,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(524), pages 1784-1796, October.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2015. "Inference under covariate-adaptive randomization," CeMMAP working papers CWP45/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2016. "Inference under Covariate-Adaptive Randomization," CeMMAP working papers CWP21/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization," CeMMAP working papers CWP25/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2015. "Inference under covariate-adaptive randomization," CeMMAP working papers 45/15, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2016. "Inference under Covariate-Adaptive Randomization," CeMMAP working papers 21/16, Institute for Fiscal Studies.
- Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2017. "Inference under covariate-adaptive randomization," CeMMAP working papers 25/17, Institute for Fiscal Studies.
- Atkinson, Anthony C. & Biswas, Atanu, 2017. "Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses," LSE Research Online Documents on Economics 66761, London School of Economics and Political Science, LSE Library.
- Nikhil Bhat & Vivek F. Farias & Ciamac C. Moallemi & Deeksha Sinha, 2020. "Near-Optimal A-B Testing," Management Science, INFORMS, vol. 66(10), pages 4477-4495, October.
- Young, Alwyn, 2024. "Asymptotically robust permutation-based randomization confidence intervals for parametric OLS regression," LSE Research Online Documents on Economics 120933, London School of Economics and Political Science, LSE Library.
- Atkinson, Anthony C. & Biswas, Atanu, 2017. "Optimal response and covariate-adaptive biased-coin designs for clinical trials with continuous multivariate or longitudinal responses," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 297-310.
- Vittorio Bassi & Aisha Nansamba, 2022.
"Screening and Signalling Non-Cognitive Skills: Experimental Evidence from Uganda,"
The Economic Journal, Royal Economic Society, vol. 132(642), pages 471-511.
- Bassi, Vittorio & Nansamba, Aisha, 2021. "Screening and Signaling Non-Cognitive Skills: Experimental Evidence from Uganda," CEPR Discussion Papers 16546, C.E.P.R. Discussion Papers.
- Yujia Gu & Hanzhong Liu & Wei Ma, 2023. "Regression‐based multiple treatment effect estimation under covariate‐adaptive randomization," Biometrics, The International Biometric Society, vol. 79(4), pages 2869-2880, December.
- Ruoxuan Xiong & Susan Athey & Mohsen Bayati & Guido Imbens, 2019.
"Optimal Experimental Design for Staggered Rollouts,"
Papers
1911.03764, arXiv.org, revised Sep 2023.
- Athey, Susan & Imbens, Guido W. & Bayati, Mohsen, 2019. "Optimal Experimental Design for Staggered Rollouts," Research Papers 3837, Stanford University, Graduate School of Business.
- Young, Alwyn, 2024. "Asymptotically robust permutation-based randomization confidence intervals for parametric OLS regression," European Economic Review, Elsevier, vol. 163(C).
- Liang Jiang & Liyao Li & Ke Miao & Yichong Zhang, 2023. "Adjustment with Many Regressors Under Covariate-Adaptive Randomizations," Papers 2304.08184, arXiv.org, revised Feb 2024.
- Sharon L. Lohr & Xiaoshu Zhu, 2017. "Randomized Sequential Individual Assignment in Social Experiments: Evaluating the Design Options Prospectively," Sociological Methods & Research, , vol. 46(4), pages 1049-1075, November.
- Idais, Osama, 2020. "Locally optimal designs for multivariate generalized linear models," Journal of Multivariate Analysis, Elsevier, vol. 180(C).
- Afridi, Farzana & Dhillon, Amrita & Sharma, Swati, 2015.
"Social Networks and Labour Productivity: A Survey of Recent Theory and Evidence,"
Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 50(1), pages 25-42.
- Farzana Afridi & Amrita Dhillon & Swati Sharma, 2015. "Social Networks and Labour productivity: A survey of recent theory and evidence," CAGE Online Working Paper Series 243, Competitive Advantage in the Global Economy (CAGE).
- Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022.
"Valuing the Time of the Self-Employed,"
CESifo Working Paper Series
9567, CESifo.
- Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2023. "Valuing the Time of the Self-Employed," Working Papers 310, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Daniel J. Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022. "Valuing the Time of the Self-Employed," NBER Working Papers 29752, National Bureau of Economic Research, Inc.
- Agness, Daniel & Baseler, Travis & Chassang, Sylvain & Dupas, Pascaline & Snowberg, Erik, 2022. "Valuing the Time of the Self-Employed," CEPR Discussion Papers 17017, C.E.P.R. Discussion Papers.
- Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022. "Valuing the Time of the Self-Employed," Working Papers 2022-2, Princeton University. Economics Department..
More about this item
Keywords
Stratification; Sequential randomization; Design of Experiments;All these keywords.
JEL classification:
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:deveng:v:1:y:2016:i:c:p:12-25. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/development-engineering .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.