Connection

Andrew Lawson to Geographic Mapping

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

1.255
  1. Multi-Scale Multivariate Models for Small Area Health Survey Data: A Chilean Example. Int J Environ Res Public Health. 2020 03 05; 17(5).
    View in: PubMed
    Score: 0.681
  2. Identifying hotspots of cardiometabolic outcomes based on a Bayesian approach: The example of Chile. PLoS One. 2020; 15(6):e0235009.
    View in: PubMed
    Score: 0.174
  3. Multiscale measurement error models for aggregated small area health data. Stat Methods Med Res. 2016 08; 25(4):1201-23.
    View in: PubMed
    Score: 0.133
  4. Spatially-dependent Bayesian model selection for disease mapping. Stat Methods Med Res. 2018 01; 27(1):250-268.
    View in: PubMed
    Score: 0.132
  5. A Bayesian normal mixture accelerated failure time spatial model and its application to prostate cancer. Stat Methods Med Res. 2016 04; 25(2):793-806.
    View in: PubMed
    Score: 0.102
  6. Disease mapping of zero-excessive mesothelioma data in Flanders. Ann Epidemiol. 2017 Jan; 27(1):59-66.e3.
    View in: PubMed
    Score: 0.034
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.