Bayesian Modeling of Incidence and Progression of Disease from Cross-Sectional Data
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- David B. Dunson & Donna D. Baird, 2001. "A Flexible Parametric Model for Combining Current Status and Age at First Diagnosis Data," Biometrics, The International Biometric Society, vol. 57(2), pages 396-403, June.
- Bengt Muthén, 1984. "A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 115-132, March.
- D. B. Dunson & G. E. Dinse, 2001. "Bayesian incidence analysis of animal tumorigenicity data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(2), pages 125-141.
- D. B. Dunson, 2000. "Bayesian latent variable models for clustered mixed outcomes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 355-366.
- W. R. Gilks & P. Wild, 1992. "Adaptive Rejection Sampling for Gibbs Sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(2), pages 337-348, June.
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- D. B. Dunson & C. Holloman & C. Calder & L. H. Gunn, 2004. "Bayesian Modeling of Multiple Lesion Onset and Growth from Interval-Censored Data," Biometrics, The International Biometric Society, vol. 60(3), pages 676-683, September.
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