Bayesian graphical modelling: a case-study in monitoring health outcomes

被引：88
作者：
Spiegelhalter, DJ [1 ]
机构：
[1] Inst Publ Hlth, Medical Research Council, Biostat Unit, Cambridge CB2 2SR, England
来源：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | 1998年 / 47卷
关键词：
cancer incidence; cervical screening; Gibbs sampling; hierarchical models; Markov chain Monte Carlo methods;
D O I：
10.1111/1467-9876.00101
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Bayesian graphical modelling represents the synthesis of several recent developments in applied complex modelling. After describing a moderately challenging real example, we show how graphical models and Markov chain Monte Carte methods naturally provide a direct path between model specification and the computational means of making inferences on that model. These ideas are illustrated with a range of modelling issues related to our example. An appendix discusses the BUGS software.
引用
收藏
页码：115 / 133
页数：19
相关论文
共 54 条
  • [1] ANDERSEN SK, 1989, P 11 INT JOINT C ART, P1080
  • [2] [Anonymous], 1995, CODA CONVERGENCE DIA
  • [3] [Anonymous], 1993, Modelling covariances and latent variables using EQS
  • [4] Arjas E, 1996, STAT MED, V15, P1757, DOI 10.1002/(SICI)1097-0258(19960830)15:16<1757::AID-SIM336>3.0.CO
  • [5] 2-J
  • [6] ARJAS E, 1997, STAT MED, V16, P741
  • [7] Bernardinelli L, 1997, STAT MED, V16, P741, DOI 10.1002/(SICI)1097-0258(19970415)16:7<741::AID-SIM501>3.0.CO
  • [8] 2-1
  • [9] Bayesian analysis of realistically complex models
    Best, NG
    Spiegelhalter, DJ
    Thomas, A
    Brayne, CEG
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 1996, 159 : 323 - 342
  • [10] Statistics in epidemiology: The case-control study
    Breslow, NE
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1996, 91 (433) : 14 - 28
123456