American Journal of Ophthalmology
Volume 149, Issue 2 , Pages 187-188.e1 , 1 February 2010

Bayesian Methods for Data Analysis

  • Robert E. Weiss

      Affiliations

    • Corresponding Author InformationInquiries to Robert E. Weiss, Department of Biostatistics, UCLA School of Public Health, Los Angeles, CA 90095-1772

,Accepted 4 November 2009.

References 

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  2. Barnard GA. Studies in the history of probability and statistics: IX (Thomas Bayes's essay towards solving a problem in the doctrine of chances). Biometrika. 1958;45(3–4):293–315
  3. Smith AFM, Skene AM, Shaw JEH, Naylor JC, Dransfield M. The implementation of the Bayesian paradigm. Commun Stat Theory Methods. 1985;14(5):1079–1102
  4. Smith AFM, Skene AM, Shaw JEH, Naylor JC. Progress with numerical and graphical methods for practical Bayesian statistics. Statistician. 1987;36(2/3):75–82
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  8. Lemeshow S, Hosmer DW. Logistic regression analysis: applications to ophthalmic research. Am J Ophthalmol. 2009;147(5):766–767
  9. Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS—a Bayesian modeling framework: concepts, structure, and extensibility. Stat Comput. 2000;10(4):325–337
  10. Hoff PD. A First Course in Bayesian Statistical Methods. New York, NY: Springer; 2009;
  11. Albert J. Bayesian Computation with R. 2nd ed.. New York, NY: Springer; 2009;
  12. R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2008;
  13. Gelman A, Carlin JB, Stern HS, Rubin DB. Bayesian Data Analysis. 2nd ed.. Boca Raton, FL: Chapman & Hall/CRC; 2003;
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PII: S0002-9394(09)00874-5

doi: 10.1016/j.ajo.2009.11.011

American Journal of Ophthalmology
Volume 149, Issue 2 , Pages 187-188.e1 , 1 February 2010