Communications for Statistical Applications and Methods

  • 제9권1호
  • /
  • Pages.115-128
  • /
  • 2002
  • /
  • 2287-7843(pISSN)
  • /
  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지
DOI QR코드

DOI QR Code

Hierarchical Bayes Analysis of Smoking and Lung Cancer Data

  • 발행 : 2002.04.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Hierarchical models are widely used for inference on correlated parameters as a compromise between underfitting and overfilling problems. In this paper, we take a Bayesian approach to analyzing hierarchical models and suggest a Markov chain Monte Carlo methods to get around computational difficulties in Bayesian analysis of the hierarchical models. We apply the method to a real data on smoking and lung cancer which are collected from cities in China.

키워드

참고문헌

  1. 범주형자료분석 박태성;이승연
  2. 몬테칼로 적분 성내경;오만숙
  3. Statistics in Medicine v.11 Meta-analysis for 2×2 tables: a Bayesian approach Carlin, J.B. https://doi.org/10.1002/sim.4780110202
  4. Small Area Statistics: An International Symposium Using a covariate for small area estimation: a common sense Bayesian approach Dempster, A.P.;Raghunathan, T.E.;Platek, R.(ed.);Rao, J.N.K.(et al)(ed.)
  5. Journal of the American Statistical Association v.74 Estimates of income for small places: An applicationof James-Stein Procedures to census data Fay, R.E.;Harriot, R.A. https://doi.org/10.2307/2286322
  6. Journal of the American Statistical Association v.85 Sampling-Based Approaches to Calculating Marginal Densities Gelfand, A.E.;Smith, A.F.M. https://doi.org/10.2307/2289776
  7. Bayesian Data Analysis Gelman;Carlin;Stern;Rubin
  8. The estimation of probabilities: An essay on modern Bayesian methods Good I.J.
  9. Journal of the American Statistical Association v.60 Inference about variance components in the one-way model Hill, S.E. https://doi.org/10.2307/2283247
  10. Foundations of Statistical Science The estimation of many parameters Lindley, D.V.;Godambe, V.P.(ed.);Sprott, D.A.(et al.)(ed.)
  11. International Journal of Epidemiology v.21 Study on smoking and lung cancer Liu, Z https://doi.org/10.1093/ije/21.2.197
  12. Biometrics v.43 A Bayesian approach to multiplicity problem for significance testing with binomial data Meng, C.Y.K.;Dempster, A.P. https://doi.org/10.2307/2531814
  13. Statistics in Medicine v.10 Empirical Bayes estimates for cancer mortality rates using spatial models Mollie, A.;Richardson, S. https://doi.org/10.1002/sim.4780100114
  14. Applied Bayesian and classicial inferences: The case of the federalist papers Mosteller, F.;Wallace, D.L.
  15. Computational Statistics and Data Analysis v.29 Estimation of Posterior Density Functions from a Posterior Sample Oh, M-S. https://doi.org/10.1016/S0167-9473(98)00068-1
  16. American Journal of Epidemiology v.138 A Bayesian approach to measurement error problems in epidemiology using conditional independence model Richardson, S.;Gilks, W.R. https://doi.org/10.1093/oxfordjournals.aje.a116875
  17. Simulation and the Monte Carlo Method Rubinstein, R.Y.

피인용 문헌

  1. A Space-Time Model with Application to Annual Temperature Anomalies; vol.10, pp.1, 2003, https://doi.org/10.5351/CKSS.2003.10.1.019