STANOVA: a smoothed-ANOVA-based model for spatio-temporal disease mapping

Stochastic Environmental Research and Risk Assessment

Volumn 29, Issue 1, 2015, Pages 131-141

  Torres Avilés, Francisco ^a   Martinez Beneito, Miguel A ^b,c  

^a UNIVERSIDAD DE SANTIAGO DE CHILE   (Chile)

^b Vaccine Research Fundación para el Fomento de la Investigación Sanitaria   (Spain)

^c CIBER EPIDEMIOLOGÍA Y SALUD PÚBLICA CIBERESP   (Spain)

Author keywords

Besag, York and Molli s model; Disease mapping; Spatio temporal modeling

Indexed keywords

ANALYSIS OF VARIANCE (ANOVA); ORTHOGONAL FUNCTIONS; RANDOM PROCESSES;

DISEASE MAPPING; DISEASE MAPPING PROBLEM; GEOGRAPHIC PATTERN; MULTIVARIATE MODELING; S MODELS; SOURCES OF VARIABILITY; SPATIO-TEMPORAL DATA; SPATIO-TEMPORAL MODELS;

MAPPING;

DISEASE; MAPPING; MODELING; MULTIVARIATE ANALYSIS; SPATIOTEMPORAL ANALYSIS;

EID: 84911370038     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-014-0888-1     Document Type: Article

References (23)

1. Assunção RM, Reis IA, Oliveira CL (2001) Diffusion and prediction of leishmaniasis in a large metropolitan area in Brazil with a Bayesian space-time model. Stat Med 20:2319–2335
2. Bernardinelli L, Clayton D, Pascutto C, Montomoli C, Ghislandi M, Songini M (1995) Bayesian analysis of space-time variation in disease risk. Stat Med 14:2433–2443
3. Besag J, York J, Mollié A (1991) Bayesian image restoration, with two applications in spatial statistics. Ann Inst Stat Math 43:1–21
4. De Ridder F, Pintelon R, Schoukens J, Verheyden A (2005) Reduction of the Gibbs phenomenon applied on nonharmonic time base distortions. IEEE Trans Instrum Meas 54(3):1118–1125
5. Gelman A, Carlin JB, Stern HS, Rubin DB (2003) Bayesian data analysis, 2nd edn. Chapman & Hall/CRC, Boca Raton
6. Knorr-Held L (2000) Bayesian modelling of inseparable space-time variation in disease risk. Stat Med 19:2555–2567
7. Lee DJ, Durban M (2009) Smooth-CAR mixed models for spatial count data. Comput Stat Data Anal 53(8):2968–2979
8. Lunn D, Thomas A, Best N, Spiegelhalter D (2000) WinBUGS: a Bayesian modelling framework: concepts, structure, and extensibility. Stat Comput 10:325–337
9. Macnab YC, Dean CB (2002) Spatio-temporal modelling of rates for the construction of disease maps. Stat Med 21(3):347–358
10. Marí Dell’Olmo M, Martinez-Beneito MA, Gotséns M, Palència L (2014) A smoothed ANOVA model for multivariate ecological regression. Stoch Environ Res Risk Assess 28(3):695–706
11. Martinez-Beneito MA, López-Quílez A, Botella-Rocamora P (2008) An autoregressive approach to spatio-temporal disease mapping. Stat Med 27:2874–2889
12. Ocaña Riola R (2007) The misuse of count data aggregated over time for disease mapping. Stat Med 26:4489–4504
13. Quick H, Banerjee S, Carlin BP (2013) Modeling temporal gradients in regionally aggregated california asthma hospitalization data. Ann Appl Stat 7(1):154–176
14. R Development Core Team (2009) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0. http://www.R-project.com
15. Rue H, Held L (2005) Gaussian Markov random fields: theory & applications. Chapman & Hall/CRC, London
16. Spiegelhalter DJ, Best NG, Carlin BP, Van Der Linde A (2002) Bayesian measures of model complexity and fit (with discussion). J R Stat Soc Ser B 64:583–641
17. Sturtz S, Ligges U, Gelman A (2005) R2WinBUGS: a package for running WinBUGS from R. J Stat Softw 12(3):1–16
18. Ugarte MD, Goicoa T, Etxeberria J, Militino AF (2012) A P-spline ANOVA type model in space-time disease mapping. Stoch Environ Res Risk Assess 26:835–845
19. Waller LA, Carlin BP, Xia H, Gelfand AE (1997) Hierarchical spatio-temporal mapping of disease rates. J Am Stat Assoc 92:607–617
20. Xia H, Carlin BP (1998) Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality. Stat Med 17:2025–2043
21. Xu B, Liu H, Su N, Kon G, Bao X, Li J, Wang J, Li Y, Ma X, Zhang J, Yu GP, Zhao L (2013) Association between winter season and risk of death from cardiovasculor diseases: a study in more than half a million inpatients in Beijing, China. BMC Cardiovasc Disord 13:93
22. Zhang Y, Hodges JS, Banerjee S (2009) Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing. Ann Appl Stat 3(4):1805–1830
23. Zurriaga O, Martínez-Beneito MA, Botella-Rocamora P, López-Quílez A, Melchor I, Amador A, Vanaclocha H, Nolasco A (2010) Spatio-temporal mortality atlas of Comunitat Valenciana. http://www.geeitema.org/AtlasET/index.jsp?idioma=I