Connection

Andrew Lawson to Georgia

This is a "connection" page, showing publications Andrew Lawson has written about Georgia.
Connection Strength

0.662
  1. 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: 0.146
  2. Bayesian spatially dependent variable selection for small area health modeling. Stat Methods Med Res. 2018 01; 27(1):234-249.
    View in: PubMed
    Score: 0.129
  3. Conditional predictive inference for online surveillance of spatial disease incidence. Stat Med. 2011 Nov 20; 30(26):3095-116.
    View in: PubMed
    Score: 0.093
  4. Space-time latent component modeling of geo-referenced health data. Stat Med. 2010 Aug 30; 29(19):2012-27.
    View in: PubMed
    Score: 0.086
  5. Comparing multilevel and multiscale convolution models for small area aggregated health data. Spat Spatiotemporal Epidemiol. 2017 08; 22:39-49.
    View in: PubMed
    Score: 0.035
  6. Multiscale measurement error models for aggregated small area health data. Stat Methods Med Res. 2016 08; 25(4):1201-23.
    View in: PubMed
    Score: 0.032
  7. The bivariate combined model for spatial data analysis. Stat Med. 2016 08 15; 35(18):3189-202.
    View in: PubMed
    Score: 0.032
  8. Bayesian model selection methods in modeling small area colon cancer incidence. Ann Epidemiol. 2016 Jan; 26(1):43-9.
    View in: PubMed
    Score: 0.031
  9. Bayesian multi-scale modeling for aggregated disease mapping data. Stat Methods Med Res. 2017 Dec; 26(6):2726-2742.
    View in: PubMed
    Score: 0.031
  10. A Bayesian latent model with spatio-temporally varying coefficients in low birth weight incidence data. Stat Methods Med Res. 2012 Oct; 21(5):445-56.
    View in: PubMed
    Score: 0.024
  11. Spatio-temporal patterning of small area low birth weight incidence and its correlates: a latent spatial structure approach. Spat Spatiotemporal Epidemiol. 2011 Dec; 2(4):265-71.
    View in: PubMed
    Score: 0.024
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.