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Items: 1 to 20 of 83

1.

Bayesian shared spatial-component models to combine and borrow strength across sparse disease surveillance sources.

Ancelet S, Abellan JJ, Del Rio Vilas VJ, Birch C, Richardson S.

Biom J. 2012 May;54(3):385-404. doi: 10.1002/bimj.201000106.

PMID:
22685004
2.

A Bayesian hierarchical analysis to compare classical and atypical scrapie surveillance data; Wales 2002-2006.

Del Rio Vilas VJ, Ancelet S, Abellan JJ, Birch CP, Richardson S.

Prev Vet Med. 2011 Jan 1;98(1):29-38. doi: 10.1016/j.prevetmed.2010.09.021. Epub 2010 Nov 1.

PMID:
21040987
3.

A Bayesian zero-truncated approach for analysing capture-recapture count data from classical scrapie surveillance in France.

Vergne T, Calavas D, Cazeau G, Durand B, Dufour B, Grosbois V.

Prev Vet Med. 2012 Jun 1;105(1-2):127-35. doi: 10.1016/j.prevetmed.2012.02.014. Epub 2012 Mar 13.

PMID:
22421503
4.

Geographic variations in risk: adjusting for unmeasured confounders through joint modeling of multiple diseases.

Best N, Hansell AL.

Epidemiology. 2009 May;20(3):400-10. doi: 10.1097/EDE.0b013e31819d90f9.

5.

Classical sheep scrapie in Great Britain: spatial analysis and identification of environmental and farm-related risk factors.

Stevens KB, Del Río Vilas VJ, Guitián J.

BMC Vet Res. 2009 Sep 8;5:33. doi: 10.1186/1746-6148-5-33.

6.

The evaluation of bias in scrapie surveillance: a review.

Del Rio Vilas VJ, Pfeiffer DU.

Vet J. 2010 Sep;185(3):259-64. doi: 10.1016/j.tvjl.2009.06.014. Epub 2009 Aug 25. Review.

PMID:
19709907
7.

A Bayesian approach to measurement error problems in epidemiology using conditional independence models.

Richardson S, Gilks WR.

Am J Epidemiol. 1993 Sep 15;138(6):430-42.

PMID:
8213748
8.

Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.

Paciorek CJ, Liu Y; HEI Health Review Committee.

Res Rep Health Eff Inst. 2012 May;(167):5-83; discussion 85-91.

PMID:
22838153
9.

Small area estimation of sparse disease counts using shared component models-application to birth defect registry data in New South Wales, Australia.

Earnest A, Beard JR, Morgan G, Lincoln D, Summerhayes R, Donoghue D, Dunn T, Muscatello D, Mengersen K.

Health Place. 2010 Jul;16(4):684-93. doi: 10.1016/j.healthplace.2010.02.006. Epub 2010 Feb 25.

PMID:
20335062
10.

Modelling the geographical distribution of co-infection risk from single-disease surveys.

Schur N, Gosoniu L, Raso G, Utzinger J, Vounatsou P.

Stat Med. 2011 Jun 30;30(14):1761-76. doi: 10.1002/sim.4243. Epub 2011 Apr 11.

PMID:
21484850
11.

Residual spatial correlation between geographically referenced observations: a Bayesian hierarchical modeling approach.

Boyd HA, Flanders WD, Addiss DG, Waller LA.

Epidemiology. 2005 Jul;16(4):532-41.

PMID:
15951672
12.

Covariate selection in multivariate spatial analysis of ovine parasitic infection.

Musella V, Catelan D, Rinaldi L, Lagazio C, Cringoli G, Biggeri A.

Prev Vet Med. 2011 May 1;99(2-4):69-77. doi: 10.1016/j.prevetmed.2010.11.012. Epub 2010 Dec 16. Review.

PMID:
21167615
13.

Bayesian spatio-temporal analysis of joint patterns of male and female lung cancer risks in Yorkshire (UK).

Richardson S, Abellan JJ, Best N.

Stat Methods Med Res. 2006 Aug;15(4):385-407.

PMID:
16886738
14.
15.
16.

[Bayesian statistics in spatial epidemiology].

Zheng WJ, Li XY, Chen K.

Zhejiang Da Xue Xue Bao Yi Xue Ban. 2008 Nov;37(6):642-7. Review. Chinese.

PMID:
19084965
17.

Statistical approaches for farm and parasitic risk profiling in geographical veterinary epidemiology.

Catelan D, Rinaldi L, Musella V, Cringoli G, Biggeri A.

Stat Methods Med Res. 2012 Oct;21(5):531-43. doi: 10.1177/0962280212446329. Epub 2012 Apr 19.

PMID:
22517272
18.

Approximate cross-validatory predictive checks in disease mapping models.

Marshall EC, Spiegelhalter DJ.

Stat Med. 2003 May 30;22(10):1649-60.

PMID:
12720302
19.

Application of one-list capture-recapture models to scrapie surveillance data in Great Britain.

Del Rio Vilas VJ, Böhning D.

Prev Vet Med. 2008 Jul 15;85(3-4):253-66. doi: 10.1016/j.prevetmed.2008.02.003. Epub 2008 Mar 19.

PMID:
18355934
20.

Mapping gender variation in the spatial pattern of alcohol-related mortality: a Bayesian analysis using data from South Yorkshire, United Kingdom.

Strong M, Pearson T, MacNab YC, Maheswaran R.

Spat Spatiotemporal Epidemiol. 2012 Jun;3(2):141-9. doi: 10.1016/j.sste.2012.04.007. Epub 2012 Apr 21.

PMID:
22682440
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