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Generalized Conjugate Priors for Bayesian Analysis of Risk and Survival Regressions

Sander Greenland
Biometrics
Vol. 59, No. 1 (Mar., 2003), pp. 92-99
Stable URL: http://www.jstor.org/stable/3695816
Page Count: 8
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Generalized Conjugate Priors for Bayesian Analysis of Risk and Survival Regressions
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Abstract

Conjugate priors for Bayesian analyses of relative risks can be quite restrictive, because their shape depends on their location. By introducing a separate location parameter, however, these priors generalize to allow modeling of a broad range of prior opinions, while still preserving the computational simplicity of conjugate analyses. The present article illustrates the resulting generalized conjugate analyses using examples from case-control studies of the association of residential wire codes and magnetic fields with childhood leukemia.

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