Premium
Generalized Conjugate Priors for Bayesian Analysis of Risk and Survival Regressions
Author(s) -
Greenland Sander
Publication year - 2003
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/1541-0420.00011
Subject(s) - conjugate prior , prior probability , bayesian probability , conjugate , mathematics , computer science , range (aeronautics) , statistics , econometrics , mathematical analysis , materials science , composite material
Summary . 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.