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A Signed-Rank Test for Clustered Data

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  • Somnath Datta
  • Glen A. Satten

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  • Somnath Datta & Glen A. Satten, 2008. "A Signed-Rank Test for Clustered Data," Biometrics, The International Biometric Society, vol. 64(2), pages 501-507, June.
  • Handle: RePEc:bla:biomet:v:64:y:2008:i:2:p:501-507
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00923.x
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    References listed on IDEAS

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    1. Gerard, Patrick D. & Schucany, William R., 2007. "An enhanced sign test for dependent binary data with small numbers of clusters," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4622-4632, May.
    2. John M. Williamson & Somnath Datta & Glen A. Satten, 2003. "Marginal Analyses of Clustered Data When Cluster Size Is Informative," Biometrics, The International Biometric Society, vol. 59(1), pages 36-42, March.
    3. Datta, Somnath & Satten, Glen A., 2005. "Rank-Sum Tests for Clustered Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 908-915, September.
    4. Bernard Rosner & Robert J. Glynn & Mei-Ling T. Lee, 2006. "The Wilcoxon Signed Rank Test for Paired Comparisons of Clustered Data," Biometrics, The International Biometric Society, vol. 62(1), pages 185-192, March.
    5. Göran Kauermann, 2000. "Modeling Longitudinal Data with Ordinal Response by Varying Coefficients," Biometrics, The International Biometric Society, vol. 56(3), pages 692-698, September.
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    Cited by:

    1. Maul, D. & Schiereck, D., 2017. "The bond event study methodology since 1974," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 80723, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Somnath Datta & Jaakko Nevalainen & Hannu Oja, 2012. "A general class of signed-rank tests for clustered data when the cluster size is potentially informative," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(3), pages 797-808.
    3. Haataja, Riina & Larocque, Denis & Nevalainen, Jaakko & Oja, Hannu, 2009. "A weighted multivariate signed-rank test for cluster-correlated data," Journal of Multivariate Analysis, Elsevier, vol. 100(6), pages 1107-1119, July.
    4. Philippe Aghion & Stefan Bechtold & Lea Cassar & Holger Herz, 2018. "The Causal Effects of Competition on Innovation: Experimental Evidence," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 34(2), pages 162-195.
    5. Klein, Arnd Heinrich & Schmutzler, Armin, 2021. "Incentives and motivation in dynamic contests," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 194-216.
    6. Gelder, Alan & Kovenock, Dan, 2017. "Dynamic behavior and player types in majoritarian multi-battle contests," Games and Economic Behavior, Elsevier, vol. 104(C), pages 444-455.
    7. Riina Lemponen & Denis Larocque & Jaakko Nevalainen & Hannu Oja, 2012. "Weighted rank tests and Hodges-Lehmann estimates for the multivariate two-sample location problem with clustered data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(4), pages 977-991, December.
    8. Sandipan Dutta, 2022. "Robust Testing of Paired Outcomes Incorporating Covariate Effects in Clustered Data with Informative Cluster Size," Stats, MDPI, vol. 5(4), pages 1-13, December.
    9. Hasika K. Wickrama Senevirathne & Sandipan Dutta, 2024. "Testing Informativeness of Covariate-Induced Group Sizes in Clustered Data," Mathematics, MDPI, vol. 12(11), pages 1-15, May.
    10. João V. Ferreira & Erik Schokkaert & Benoît Tarroux, 2023. "How group deliberation affects individual distributional preferences: An experimental study," Working Papers 2301, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    11. Lan Wang & Runze Li, 2009. "Weighted Wilcoxon-Type Smoothly Clipped Absolute Deviation Method," Biometrics, The International Biometric Society, vol. 65(2), pages 564-571, June.
    12. Jaakko Nevalainen & Somnath Datta & Hannu Oja, 2014. "Inference on the marginal distribution of clustered data with informative cluster size," Statistical Papers, Springer, vol. 55(1), pages 71-92, February.
    13. Feng, Jun & Ho, Chun-Yu & Qin, Xiangdong, 2022. "Internal and external reference dependence of incomplete contracts: Experimental evidences," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 189-209.
    14. Lea Cassar, 2014. "Job mission as a substitute for monetary incentives: experimental evidence," ECON - Working Papers 177, Department of Economics - University of Zurich.
    15. Ambrus, Attila & Greiner, Ben & Pathak, Parag A., 2015. "How individual preferences are aggregated in groups: An experimental study," Journal of Public Economics, Elsevier, vol. 129(C), pages 1-13.
    16. del Campo, Cristina & Urquía-Grande, Elena & Pascual-Ezama, David, 2023. "Internationalizing the business school: A comparative analysis of English-medium and Spanish-medium instruction impact on student performance," Evaluation and Program Planning, Elsevier, vol. 98(C).
    17. Liya Fu & You-Gan Wang, 2012. "Efficient Estimation for Rank-Based Regression with Clustered Data," Biometrics, The International Biometric Society, vol. 68(4), pages 1074-1082, December.
    18. Omer Ozturk & Asuman Turkmen, 2016. "Quantile inference based on clustered data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(7), pages 867-893, October.
    19. Sophie Kelmenson, 2023. "Between the farm and the fork: job quality in sustainable food systems," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(1), pages 317-358, March.

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