Connection

Andrew Lawson to Space-Time Clustering

This is a "connection" page, showing publications Andrew Lawson has written about Space-Time Clustering.
Connection Strength

1.840
  1. Space-time latent component modeling of geo-referenced health data. Stat Med. 2010 Aug 30; 29(19):2012-27.
    View in: PubMed
    Score: 0.367
  2. Review of methods for space-time disease surveillance. Spat Spatiotemporal Epidemiol. 2010 Jul; 1(2-3):105-16.
    View in: PubMed
    Score: 0.354
  3. Surveillance of individual level disease maps. Stat Methods Med Res. 2006 Aug; 15(4):353-62.
    View in: PubMed
    Score: 0.276
  4. A Bayesian two-stage spatially dependent variable selection model for space-time health data. Stat Methods Med Res. 2019 09; 28(9):2570-2582.
    View in: PubMed
    Score: 0.155
  5. Space-time variation of respiratory cancers in South Carolina: a flexible multivariate mixture modeling approach to risk estimation. Ann Epidemiol. 2017 Jan; 27(1):42-51.
    View in: PubMed
    Score: 0.139
  6. Tests for directional space-time interaction in epidemiological data. Stat Med. 1995 Nov 15-30; 14(21-22):2383-91.
    View in: PubMed
    Score: 0.131
  7. Bayesian semiparametric model with spatially-temporally varying coefficients selection. Stat Med. 2013 Sep 20; 32(21):3670-85.
    View in: PubMed
    Score: 0.110
  8. Bayesian hierarchical modeling of the dynamics of spatio-temporal influenza season outbreaks. Spat Spatiotemporal Epidemiol. 2010 Jul; 1(2-3):187-95.
    View in: PubMed
    Score: 0.089
  9. Space-time Bayesian survival modeling of chronic wasting disease in deer. Prev Vet Med. 2009 Sep 01; 91(1):46-54.
    View in: PubMed
    Score: 0.084
  10. Online updating of space-time disease surveillance models via particle filters. Stat Methods Med Res. 2006 Oct; 15(5):423-44.
    View in: PubMed
    Score: 0.070
  11. Spatial statistical modeling of disease outbreaks with particular reference to the UK foot and mouth disease (FMD) epidemic of 2001. Prev Vet Med. 2005 Oct 12; 71(3-4):141-56.
    View in: PubMed
    Score: 0.065
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.