Generalized Conjugate Priors for Bayesian Analysis of Risk and Survival Regressions
2003
Greenland, Sander
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 caseâcontrol studies of the association of residential wire codes and magnetic fields with childhood leukemia.
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书目信息
出版者
Blackwell Publishing, Inc.
其它主题
Attitudes and opinions; Childhood; Magnetic fields; Case-control studies
语言
英语
类型
Journal Article; Text
2024-02-28
MODS