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Putting Background Information About Relative Risks into Conjugate Prior Distributions

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  • Sander Greenland

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  • Sander Greenland, 2001. "Putting Background Information About Relative Risks into Conjugate Prior Distributions," Biometrics, The International Biometric Society, vol. 57(3), pages 663-670, September.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:3:p:663-670
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2001.00663.x
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    References listed on IDEAS

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    1. David Draper & James S. Hodges & Colin L. Mallows & Daryl Pregibon, 1993. "Exchangeability and Data Analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 156(1), pages 9-28, January.
    2. Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-313, June.
    3. Sander Greenland, 2000. "When Should Epidemiologic Regressions Use Random Coefficients?," Biometrics, The International Biometric Society, vol. 56(3), pages 915-921, September.
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    Cited by:

    1. Sander Greenland, 2005. "Multiple‐bias modelling for analysis of observational data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 267-306, March.
    2. Sander Greenland & Leeka Kheifets, 2006. "Leukemia Attributable to Residential Magnetic Fields: Results from Analyses Allowing for Study Biases," Risk Analysis, John Wiley & Sons, vol. 26(2), pages 471-482, April.
    3. Sander Greenland, 2003. "Generalized Conjugate Priors for Bayesian Analysis of Risk and Survival Regressions," Biometrics, The International Biometric Society, vol. 59(1), pages 92-99, March.
    4. Mauricio Diaz & Daniel M. Frances, 2014. "Bayesian Inference Using Gibbs Sampling in Applications and Curricula of Decision Analysis," INFORMS Transactions on Education, INFORMS, vol. 14(2), pages 86-95, February.
    5. James Honaker & Gary King, 2010. "What to Do about Missing Values in Time‐Series Cross‐Section Data," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 561-581, April.
    6. Paul Gustafson & Sander Greenland, 2006. "The Performance of Random Coefficient Regression in Accounting for Residual Confounding," Biometrics, The International Biometric Society, vol. 62(3), pages 760-768, September.
    7. Jianzhong Zhou & Kuaile Feng & Yi Liu & Chao Zhou & Feifei He & Guangbiao Liu & Zhongzheng He, 2020. "A Hydrologic Uncertainty Processor Using Linear Derivation in the Normal Quantile Transform Space," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(11), pages 3649-3665, September.
    8. Iain L. MacDonald & Brendon M. Lapham, 2016. "Even More Direct Calculation of the Variance of a Maximum Penalized-Likelihood Estimator," The American Statistician, Taylor & Francis Journals, vol. 70(1), pages 114-118, February.

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