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Bayesian Inferences on Predictors of Conception Probabilities

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  • David B. Dunson
  • Joseph B. Stanford

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  • David B. Dunson & Joseph B. Stanford, 2005. "Bayesian Inferences on Predictors of Conception Probabilities," Biometrics, The International Biometric Society, vol. 61(1), pages 126-133, March.
    • Handle: RePEc:bla:biomet:v:61:y:2005:i:1:p:126-133
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2005.031231.x
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    References listed on IDEAS

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    1. David B. Dunson, 2001. "Bayesian Modeling of the Level and Duration of Fertility in the Menstrual Cycle," Biometrics, The International Biometric Society, vol. 57(4), pages 1067-1073, December.
    2. Patrick Royston & Alberto Ferreira, 1999. "A New Approach to Modeling Daily Probabilities of Conception," Biometrics, The International Biometric Society, vol. 55(4), pages 1005-1013, December.
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    Cited by:

    1. Sungduk Kim & Zhen Chen & Neil J. Perkins & Enrique F. Schisterman & Germaine M. Buck Louis, 2019. "A Model-Based Approach to Detection Limits in Studying Environmental Exposures and Human Fecundity," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 524-547, December.
    2. Lianming Wang & David B. Dunson, 2010. "Semiparametric Bayes Multiple Testing: Applications to Tumor Data," Biometrics, The International Biometric Society, vol. 66(2), pages 493-501, June.
    3. Sun, Peng & Kim, Inyoung & Lee, Ki-Ahm, 2018. "Dual-semiparametric regression using weighted Dirichlet process mixture," Computational Statistics & Data Analysis, Elsevier, vol. 117(C), pages 162-181.

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    2. David B. Dunson, 2001. "Bayesian Modeling of the Level and Duration of Fertility in the Menstrual Cycle," Biometrics, The International Biometric Society, vol. 57(4), pages 1067-1073, December.
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