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Extra resources for A closer look at the distribution of number needed to treat (NNT) a Bayesian approach (2003)(en)(6s)

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And Dey, D. (1994) Bayesian model choice: Asymptotics and exact calculations. Journal of the Royal Statistical Society B, 56(3), 501–514. Gelfand, A. and Ghosh, S. (1998) Model choice: A minimum posterior predictive loss approach. Biometrika, 85(1), 1–11. Gelfand, A. and Sahu, S. (1999) Identifiability, improper priors, and Gibbs sampling for generalized linear models. Journal of the American Statistical Association, 94, 247–253. Gelfand, A. and Smith, A. (1990) Sampling-based approaches to calculating marginal densities.

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Chapman and Hall, London, UK. Gilks, W. and Wild, P. (1992) Adaptive rejection sampling for Gibbs sampling. Applied Statistics, 41, 337–48. , Roberts, G. and Sahu, S. (1998) Adaptive Markov chain Monte Carlo through regeneration. Journal of the American Statistical Association, 93, 1045–1054. Gill, J. and Walker, L. (2005) Elicited priors for bayesian model specifications in political science research. Journal of Politics, 67(3), 841–872. Green, P. (1995) Reversible jump MCMC computation and Bayesian model determination.

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