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Bayesian sample size determination for case-control studies with misclassification

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  • Stamey, James
  • Gerlach, Richard

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File URL: http://www.sciencedirect.com/science/article/B6V8V-4J90V00-1/2/b51d16f4840e9e74cbe5d8142706b68d
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Bibliographic Info

Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

Volume (Year): 51 (2007)
Issue (Month): 6 (March)
Pages: 2982-2992

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Handle: RePEc:eee:csdana:v:51:y:2007:i:6:p:2982-2992

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Web page: http://www.elsevier.com/locate/csda

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References

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  1. E. Rahme & L. Joseph & T. W. Gyorkos, 2000. "Bayesian sample size determination for estimating binomial parameters from data subject to misclassification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(1), pages 119-128.
  2. Beckers, Stan, 1981. "Standard deviations implied in option prices as predictors of future stock price variability," Journal of Banking & Finance, Elsevier, vol. 5(3), pages 363-381, September.
  3. Fulvio De Santis & Marco Perone Pacifico & Valeria Sambucini, 2004. "Optimal predictive sample size for case-control studies," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 53(3), pages 427-441.
  4. David B. Flynn & Simone D. Grose & Gael M. Martin & Vance L. Martin, 2003. "Pricing Australian S&P200 Options: A Bayesian Approach Based on Generalized Distributional Forms," Monash Econometrics and Business Statistics Working Papers 6/03, Monash University, Department of Econometrics and Business Statistics.
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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.

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