Age-period-cohort models and disease mapping

Environmetrics

Volumn 14, Issue 5, 2003, Pages 475-490

  Lagazio, Corrado ^a   Biggeri, Annibale ^b   Dreassi, Emanuela ^b  

^a UNIVERSITY OF UDINE   (Italy)

^b UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Age period cohort models; Disease mapping; Space time modelling

Indexed keywords

DISEASE PREVALENCE; MAPPING; MEDICAL GEOGRAPHY; METHODOLOGY; SPATIOTEMPORAL ANALYSIS;

EID: 0042532207     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/env.600     Document Type: Conference Paper

References (31)

1. Assunçao RM, Reis IA, Di Lorenzo Oliveira C. 2001. Diffusion and prediction of Leishmaniasis in a large metropolitan area in Brazil with a Bayesian space-time model. Statistics in Medicine 20: 2319-2335.
2. Bernardinelli L, Clayton D, Pascutto C, Montomoli C. 1995. Bayesian analysis of space-time variation in disease risk. Statistics in Medicine 14: 2433-2443.
3. Berzuini C, Clayton D. 1994. Bayesian analysis of survival on multiple time scales. Statistics in Medicine 13: 823-838.
4. Besag J, York J, Mollié A. 1991. Bayesian image restoration, with applications in spatial statistics (with discussion). Annals of the Institute of Statistical Mathematics 43: 1-59.
5. Biggeri A, Marchi M, Lagazio C, Böhning D, Martuzzi M. 2000. Non-parametric maximum likelihood estimators for disease mapping. Statistics in Medicine 19: 2539-2554.
6. Böhning D, Dietz E, Schlattmann P. 2000. Space-time mixture modelling of public health data. Statistics in Medicine 19: 2333-2344.
7. Clayton D. 1996. Generalized linear mixed models. In Markov Chain Monte Carlo in Practice, Gilks WR, Richardson S, Spiegelhalter DJ (eds). Chapman & Hall: London; 275-301.
8. Clayton D, Kaldor J. 1987. Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics 43: 671-681.
9. Clayton D, Schifflers E. 1987a. Models for temporal variation in cancer rates. I: age-period and age-cohort models. Statistics in Medicine 6: 449-467.
10. Clayton D, Schifflers E. 1987b. Models for temporal variation in cancer rates. II: age-period-cohort models. Statistics in Medicine 6: 469-481.
11. Ferrándiz J, López A, Llopis A, Morales M, Tejerizo ML. 1995. Spatial interaction between neighbouring counties: cancer mortality data in Valencia (Spain). Biometrics 51: 665-678.
12. Gelfand AE, Ghosh SK. 1998. Model choice: a minimum posterior predictive loss approach. Biometrika 85: 1-11.
13. Gelfand AE, Sahu SK, Carlin BP. 1995. Efficient parametrizations for normal linear mixed models. Biometrika 82: 479-488.
14. Gelman A, Rubin DR. 1992. Inference from iterative simulation using multiple sequences (with discussion). Statistical Science 7: 457-511.
15. Geweke J. 1992. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In Bayesian Statistics 4, Bernardo JM, Berger JO, Dawid AP, Smith AFM (eds). 625-631.
16. Grauman DJ, Tarone RE, Devesa SS, Fraumeni JF. 2000. Alternate ranging methods for cancer mortality maps. Journal of the National Cancer Institute 92: 534-543.
17. Kass RE, Raftery AE. 1995. Bayes Factors. Journal of the America Statistical Association 90: 773-795.
18. Knorr-Held L. 2000. Bayesian modelling of inseparable space-time variation in disease risk. Statistics in Medicine 19: 2555-2567.
19. Knorr-Held L, Besag J. 1998. Modelling risk from a disease in time and space. Statistics in Medicine 17: 2045-2060.
20. Knorr-Held L, Rainer E. 2001. Projections of lung cancer mortality in West Germany: a case study in Bayesian prediction. Biostatistics 2: 109-129.
21. Knorr-Held L, Rue H. 2002. On block updating in Markov random field models for disease mapping. Scandinavian Journal of Statistics (to appear).
22. Lagazio C, Biggeri A, Dreassi E. 2001. A hierarchical Bayesian Model for Space-Time Variation of Disease Risk. Statistical Modelling 1: 17-29.
23. Laud PW, Ibrahim JG. 1995. Predictive Model Selection. Journal of the Royal Statistic Society B 57: 247-262.
24. Marshall EC, Spiegelhalter DJ. 2001. Strategies for inference robustness in complex modelling. Technical Report, MRC Biostatistics Unit: Cambridge, UK.
25. McCulloch RE. 1989. Local Model Influence. Journal of the American Statistical Association 84: 473-478.
26. Osmond C, Gardner MJ. 1982. Age-period and cohort models applied to cancer mortality rates. Statistics in Medicine 1: 245-259.
27. Rue H. 2001. Fast sampling of Gaussian Markov random fields. Journal of the Royal Statistical Society B 63: 325-338.
28. Spiegelhalter DJ, Best NG, Carlin BP, van der Linde A. 2002. Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society B 64 (to appear).
29. Sun D, Tsutakawa RK, Kim H, He Z. 2000. Spatio-temporal interaction with disease mapping. Statistics in Medicine 19: 2015-2035.
30. Vigotti MA, Biggeri A, Dreassi E, Protti MA, Cislaghi C. 2001. Tuscany Atlas of Mortality 1971-1994. Edizioni Plus, Università di Pisa.
31. Waller LA, Carlin BP, Xia H, Gelfand AE. 1997. Hierarchical spatio-temporal mapping of disease rates. Journal of the American Statistical Association 92: 607-617.