Connection

Andrew Lawson to Linear Models

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

0.283
  1. A Bayesian semiparametric approach with change points for spatial ordinal data. Stat Methods Med Res. 2016 04; 25(2):644-58.
    View in: PubMed
    Score: 0.091
  2. Prior choice in discrete latent modeling of spatially referenced cancer survival. Stat Methods Med Res. 2014 Apr; 23(2):183-200.
    View in: PubMed
    Score: 0.088
  3. Review of methods for space-time disease surveillance. Spat Spatiotemporal Epidemiol. 2010 Jul; 1(2-3):105-16.
    View in: PubMed
    Score: 0.075
  4. Spatially-dependent Bayesian model selection for disease mapping. Stat Methods Med Res. 2018 01; 27(1):250-268.
    View in: PubMed
    Score: 0.029
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.