Connection

Andrew Lawson to Multivariate Analysis

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

0.142
  1. Modelling and predicting the spatio-temporal spread of COVID-19, associated deaths and impact of key risk factors in England. Sci Rep. 2021 03 08; 11(1):5378.
    View in: PubMed
    Score: 0.038
  2. Spatiotemporal multi-disease transmission dynamic measure for emerging diseases: an application to dengue and zika integrated surveillance in Thailand. BMC Med Res Methodol. 2019 10 26; 19(1):200.
    View in: PubMed
    Score: 0.035
  3. 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: 0.028
  4. 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: 0.021
  5. Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study. Int J Health Geogr. 2012 Jan 09; 11:1.
    View in: PubMed
    Score: 0.020
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.