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James Stamey

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First Name:James
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Last Name:Stamey
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RePEc Short-ID:pst26

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Articles

  1. James D. Stamey & Daniel P. Beavers & Michael E. Sherr, 2017. "Bayesian Analysis and Design for Joint Modeling of Two Binary Responses With Misclassification," Sociological Methods & Research, , vol. 46(4), pages 772-792, November.
  2. Austin L. Hand & John A. Scott & Phil D. Young & James D. Stamey & Dean M. Young, 2016. "Bayesian adaptive two-stage design for determining person-time in Phase II clinical trials with Poisson data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(9), pages 1625-1635, July.
  3. Beavers, Daniel P. & Stamey, James D., 2012. "Bayesian sample size determination for binary regression with a misclassified covariate and no gold standard," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2574-2582.
  4. John W. Seaman & John W. Seaman & James D. Stamey, 2012. "Hidden Dangers of Specifying Noninformative Priors," The American Statistician, Taylor & Francis Journals, vol. 66(2), pages 77-84, May.
  5. Brandi A. Greer & James D. Stamey & Dean M. Young, 2011. "Bayesian interval estimation for the difference of two independent Poisson rates using data subject to under‐reporting," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(3), pages 259-274, August.
  6. Cheng, Dunlei & Branscum, Adam J. & Stamey, James D., 2010. "A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 298-307, February.
  7. Jie Wang & James Stamey, 2010. "A Bayesian algorithm for sample size determination for equivalence and non-inferiority test," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(10), pages 1749-1759.
  8. Powers, Stephanie & Gerlach, Richard & Stamey, James, 2010. "Bayesian variable selection for Poisson regression with underreported responses," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3289-3299, December.
  9. Stamey, James, 2008. "Modern Mathematical Statistics with Applications," The American Statistician, American Statistical Association, vol. 62(4), pages 358-358.
  10. Stamey, James D. & Boese, Doyle H. & Young, Dean M., 2008. "Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1335-1346, January.
  11. Cody Hamilton & Tom Bratcher & James Stamey, 2008. "Bayesian subset selection approach to ranking normal means," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(8), pages 847-851.
  12. Stamey, James & Gerlach, Richard, 2007. "Bayesian sample size determination for case-control studies with misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2982-2992, March.
  13. Boese, Doyle H. & Young, Dean M. & Stamey, James D., 2006. "Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3369-3385, August.
  14. James Stamey & Dean Young & Tom Bratcher, 2006. "Bayesian sample-size determination for one and two Poisson rate parameters with applications to quality control," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(6), pages 583-594.
  15. Stamey, James D. & Bratcher, Tom L. & Young, Dean M., 2004. "Parameter subset selection and multiple comparisons of Poisson rate parameters with misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 45(3), pages 467-479, April.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Cheng, Dunlei & Branscum, Adam J. & Stamey, James D., 2010. "A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 298-307, February.

    Cited by:

    1. Rauch, G. & Kieser, M., 2013. "An expected power approach for the assessment of composite endpoints and their components," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 111-122.

  2. Stamey, James D. & Boese, Doyle H. & Young, Dean M., 2008. "Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1335-1346, January.

    Cited by:

    1. Edler, Lutz & Lee, Jae Won & Mittlböck, Martina & Niland, Joyce & Victor, Norbert, 2009. "Computational statistics within clinical research," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 583-585, January.

  3. Cody Hamilton & Tom Bratcher & James Stamey, 2008. "Bayesian subset selection approach to ranking normal means," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(8), pages 847-851.

    Cited by:

    1. Arboretti, Rosa & Bonnini, Stefano & Corain, Livio & Salmaso, Luigi, 2014. "A permutation approach for ranking of multivariate populations," Journal of Multivariate Analysis, Elsevier, vol. 132(C), pages 39-57.

  4. Stamey, James & Gerlach, Richard, 2007. "Bayesian sample size determination for case-control studies with misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2982-2992, March.

    Cited by:

    1. Edler, Lutz & Lee, Jae Won & Mittlböck, Martina & Niland, Joyce & Victor, Norbert, 2009. "Computational statistics within clinical research," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 583-585, January.

  5. Boese, Doyle H. & Young, Dean M. & Stamey, James D., 2006. "Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3369-3385, August.

    Cited by:

    1. Rahardja, Dewi & Young, Dean M., 2011. "Likelihood-based confidence intervals for the risk ratio using double sampling with over-reported binary data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 813-823, January.
    2. Rahardja, Dewi & Young, Dean M., 2010. "Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme," Computational Statistics & Data Analysis, Elsevier, vol. 54(5), pages 1281-1287, May.
    3. Tang, Man-Lai & Qiu, Shi-Fang & Poon, Wai-Yin, 2012. "Confidence interval construction for disease prevalence based on partial validation series," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1200-1220.
    4. Partha Lahiri & Noriah M. Al-Kandari, 2016. "Prediction of a Function of Misclassified Binary Data," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 17(3), pages 429-447, September.
    5. Noriah M. Al-Kandari & Partha Lahiri, 2016. "Prediction Of A Function Of Misclassified Binary Data," Statistics in Transition. New Series, Polish Statistical Association, vol. 17(3), pages 429-447, September.
    6. Stamey, James D. & Boese, Doyle H. & Young, Dean M., 2008. "Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1335-1346, January.

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