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Testing for Marginal Independence between Two Categorical Variables with Multiple Responses

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  • Christopher R. Bilder
  • Thomas M. Loughin

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  • Christopher R. Bilder & Thomas M. Loughin, 2004. "Testing for Marginal Independence between Two Categorical Variables with Multiple Responses," Biometrics, The International Biometric Society, vol. 60(1), pages 241-248, March.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:1:p:241-248
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00147.x
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    Cited by:

    1. Pelenur, Marcos J. & Cruickshank, Heather J., 2012. "Closing the Energy Efficiency Gap: A study linking demographics with barriers to adopting energy efficiency measures in the home," Energy, Elsevier, vol. 47(1), pages 348-357.
    2. Thomas Suesse & Ivy Liu, 2013. "Modelling Strategies for Repeated Multiple Response Data," International Statistical Review, International Statistical Institute, vol. 81(2), pages 230-248, August.
    3. Thomas Suesse & Ivy Liu, 2019. "Mantel–Haenszel estimators of a common odds ratio for multiple response data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(1), pages 57-76, March.
    4. Thomas W. McDaniel & Carissa L. Wonkka & Morgan L. Treadwell & Urs P. Kreuter, 2021. "Factors Influencing County Commissioners’ Decisions about Burn Bans in the Southern Plains, USA," Land, MDPI, vol. 10(7), pages 1-13, June.
    5. Stahl, Florian & Schomm, Fabian & Vomfell, Lara & Vossen, Gottfried, 2015. "Marketplaces for digital data: Quo vadis?," ERCIS Working Papers 24, University of Münster, European Research Center for Information Systems (ERCIS).

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