Volume 20 - Article 18 | Pages 435–466
Geographical mortality patterns in Italy: A Bayesian analysis
By Fabio Divino, Viviana Egidi, Michele Antonio Salvatore
References
Banerjee, S., Carlin, B. P., and Gelfand, A. E. (2004). Hierarchical Modeling and Analysis for Spatial Data. London: Chapman & Hall.
Benach, J., Yasui, Y., Borrell, C., Rosa, E., Pasarín, M., Benach, N., Español, E., Martínez, J. M., and Daponte, A. (2003). Examining geographic patterns of mortality: the atlas of mortality in small areas in Spain (1987-1995). European Journal of Public Health 13(2): 115-123.
Benach, J., Yasui, Y., Martinez, J. , Borrell, C., Pasarin, M., and Daponte, A. (2004). The geography of the highest mortality areas in Spain: a striking cluster in the southwestern region of the country. Occupational and Environmental Medicine 61: 280-281.
Bernardinelli, L., Clayton, D. G., and Montomoli, C. (1995). Bayesian estimates of disease maps: how important are priors? Statistics in Medicine 14: 2411-2431.
Bernardinelli, L. and Montomoli, C. (1992). Empirical Bayes versus fully Bayesian analysis of geographical variation in disease risk. Statistics in Medicine 11: 983-1007.
Besag, J., York, J., and Mollie, A. (1991). Bayesian image restoration, with two applications in spatial statistics. Annals of the Institute of Statistical Mathematics 43(1): 1-59.
Breslow, N. E. (1984). Extra-Poisson variation in log-linear models. Applied Statistics 33(1): 33-44.
Breslow, N. E. and Clayton, D. G. (1993). Approximate inference in generalized linear mixed models. Journal of the American Statistical Association 88(421): 9-25.
Breslow, N. E., Leroux, B., and Platt, R. (1998). Approximate hierarchical modelling of discrete data in epidemiology. Statistical Methods in Medical Research 7: 49-62.
Caselli, G. and Egidi, V. (1980). Le differenze territoriali di mortalità in Italia. Tavole di mortalità provinciali (1971-72). Istituto di Demografia, Roma 32.
Caselli, G. and Lipsi, R. M. (2006). Survival differences among the oldest old in Sardinia: Who, what, where, and why. Demographic Research 14(13): 267-294.
Clayton, D. G., Bernardinelli, L., and Montomoli, C. (1994). Spatial autocorrelation in ecological analysis. International Journal of Epidemiology 22: 1193-1202.
Clayton, D. G. and Kaldor, J. (1987). Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics 43: 671-681.
Congdon, P. (2003). Applied Bayesian Modelling. New York: John Wiley & Sons.
De Simoni, A. and Lipsi, R.M. (2005). La mortalità per causa in Italia nell’ultimo trentennio. Tavole di mortalità 1971, 1976, 1981, 1986, 1991, 1996 e 2000. Roma: Università degli Studi di Roma “La Sapienza”, Dipartimento di Scienze Demografiche.
Divino, F., Frigessi, A., and Green, P. (2000). Penalized pseudolikelihood inference in spatial interaction models with covariates. Scandinavian journal of statistics 27: 445-458.
Dupré, D., Niederlander, E., Jougla, E., and Salem, G. (2004). Mortality in the EU 1997-1999 - Statistics in focus. Eurostat (Theme 3, 2A/2004, 1-7).
Egidi, V., Spizzichino, D., Frova, L., Pappagallo, M., and Di Fraia, G. (2005). Sopravvivenza e mortalità nelle province italiane. In: italiane, Osservatorio Nazionale sulla salute nelle regioni (ed.). Rapporto Osservasalute 2005. Stato di salute e qualità dell’assistenza nelle regioni italiane. Milano: Prex editore.
Ferrandiz, J., Lopez, A., Llopis, A., Morales, M., and Tejerizo, M. L. (1995). Spatial Interaction between neighbouring counties: cancer mortality data in Valencia (Spain). Biometrics 51: 665-678.
Frova, L., Prati, S., Boccuzzo, C., Capocaccia, R., Conti, S., Masocco, M., Toccaceli, V., and Verdecchia, A. (1999). La mortalità in Italia nel periodo 1970-1992: evoluzione e geografia. Roma: ISTAT.
Heikkinen, J. and Högmander, H. (1994). Fully Bayesian approach to image restoration with an application in biogeography. Applied Statistics 43(4): 569-582.
ISTAT (2005). Cause di morte. Anno 2001, Istituto Nazionale di Statistica, Annuari, Roma, No. 17.
ISTAT (1997). Classificazione delle malattie, traumatismi e cause di morte, IX Revisione 1975, Istituto Nazionale di Statistica, Metodi e Norme, Serie C, No. 10, Voll. 1° e 2°, V° ristampa.
Jougla, E., Salem, G., Gancel, S., Michel, V., Kurzinger, M.L., Rican, S., and Hamzaoui, N. (2002). Atlas on mortality in the European Union - Health Statistics. Eurostat, Population and Social Conditions. (Thème 3).
Langford, I. H., Leyland, A. H., Rasbash, J., and Goldstein, H. (1999). Multilevel modelling of the geographical distributions of diseases. Journal of the Royal Statistical Society C(48): 253-268.
Lawson, A. B., Biggeri, A. , Böhning, D., Lesaffre, E., Viel, J. F., Clark, A., Schlattmann, P., Divino, F., and Group), (Disease Mapping Collaborative (2000). Disease Mapping Models: An Empirical Evaluation. Statistics in Medicine 19(17/18): 2217-2242.
Lawson, A. B., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J. F., and Bertollini, R. (1999). Disease Mapping and Risk Assessment for Public Health. New York: John Wiley and Sons.
Liu, J. S. (2001). Monte Carlo Strategies in Scientific Computing. New York: Springer.
Mahapatra, P., Shibuya, K., Lopez, A. D., Coullare, F., Notzon, F. C., Rao, C., and Szreter, S. (2007). Civil registration systems and vital statistics: successes and missed opportunities. The Lancet 370(9599): 1653-1663.
Marshall, R. (1991a). A review of methods for the statistical analysis of spatial patterns of disease. Journal of the Royal Statistical Society A(154): 421-441.
Marshall, R. (1991b). Mapping disease and mortality rates using empirical Bayes estimators. Applied Statistics 40: 283-294.
Mollie, A. (1996). Bayesian mapping of disease. In: Gilks, W., Richardson, S., and Spiegelhalter, D. J. (eds.). Markov Chain Monte Carlo in Practice. London: Chapman & Hall: 359–379.
Mollie, A. and Richardson, S. (1991). Empirical Bayes estimates of cancer mortality rates using spatial models. Statistics in Medicine 10: 95-112.
Penttinen, A. , Divino, F., and Riiali, A. (2003). Spatial hierarchical Bayesian models in ecological applications. In: Green, P. J., Hjort, N. L., and Richardson, S. (eds.). Highly Structured Stochastic Systems. London: Oxford University Press: 271-288.
Pickle, L.W., Mungiole, M., Jones, G.K., and White, A.A. (1996). Atlas of United States mortality. Proceedings of Statistical Graphics Section, American Statistical Association Meeting, 1996. Hyattsville, MD: National Center for Health Statistics.
Robert, C. P. and Casella, G. (2004). Monte Carlo Statistical Methods. New York: Springer.
Rue, H. and Held, L. (2005). Gaussian Markov random fields: Theory and applications. New York: Springer.