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Bayesian Analysis of Serial Dilution Assays

Author

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  • Andrew Gelman
  • Ginger L. Chew
  • Michael Shnaidman

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Suggested Citation

  • Andrew Gelman & Ginger L. Chew & Michael Shnaidman, 2004. "Bayesian Analysis of Serial Dilution Assays," Biometrics, The International Biometric Society, vol. 60(2), pages 407-417, June.
  • Handle: RePEc:bla:biomet:v:60:y:2004:i:2:p:407-417
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00185.x
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    References listed on IDEAS

    as
    1. A. Gelman & Y. Goegebeur & F. Tuerlinckx & I. Van Mechelen, 2000. "Diagnostic checks for discrete data regression models using posterior predictive simulations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(2), pages 247-268.
    2. Mei-Ling Ting Lee & G. A. Whitmore, 1999. "Statistical Inference for Serial Dilution Assay Data," Biometrics, The International Biometric Society, vol. 55(4), pages 1215-1220, December.
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    Cited by:

    1. Andrew Gelman & Bob Carpenter, 2020. "Bayesian analysis of tests with unknown specificity and sensitivity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1269-1283, November.
    2. Y. Fong & J. Wakefield & S. De Rosa & N. Frahm, 2012. "A Robust Bayesian Random Effects Model for Nonlinear Calibration Problems," Biometrics, The International Biometric Society, vol. 68(4), pages 1103-1112, December.
    3. Jeffrey S. Buzas & Carrie G. Wager & David M. Lansky, 2011. "Split-Plot Designs for Robotic Serial Dilution Assays," Biometrics, The International Biometric Society, vol. 67(4), pages 1189-1196, December.
    4. Pankaj Dikshit & M. P. Gupta & Arpan Kumar Kar & B. Chandra, 2022. "Taxation transformation of businesses enabled by information systems: an empirical study of Goods and Services Tax implementation in India," SN Business & Economics, Springer, vol. 2(9), pages 1-26, September.
    5. Holly Hartman & Yuge Wang & Harry W Schroeder Jr & Xiangqin Cui, 2018. "Absorbance summation: A novel approach for analyzing high-throughput ELISA data in the absence of a standard," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-12, June.

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