Connection

Brian Neelon to Data Interpretation, Statistical

This is a "connection" page, showing publications Brian Neelon has written about Data Interpretation, Statistical.
  1. The LZIP: A Bayesian latent factor model for correlated zero-inflated counts. Biometrics. 2017 03; 73(1):185-196.
    View in: PubMed
    Score: 0.118
  2. A marginalized two-part model for longitudinal semicontinuous data. Stat Methods Med Res. 2017 Aug; 26(4):1949-1968.
    View in: PubMed
    Score: 0.110
  3. Bayesian two-part spatial models for semicontinuous data with application to emergency department expenditures. Biostatistics. 2015 Jul; 16(3):465-79.
    View in: PubMed
    Score: 0.107
  4. A marginalized two-part model for semicontinuous data. Stat Med. 2014 Dec 10; 33(28):4891-903.
    View in: PubMed
    Score: 0.103
  5. Special issue on spatial methods for health policy research. Stat Methods Med Res. 2014 Apr; 23(2):117-8.
    View in: PubMed
    Score: 0.101
  6. Bayesian latent factor regression for functional and longitudinal data. Biometrics. 2012 Dec; 68(4):1064-73.
    View in: PubMed
    Score: 0.091
  7. Addressing geographic confounding through spatial propensity scores: a study of racial disparities in diabetes. Stat Methods Med Res. 2019 03; 28(3):734-748.
    View in: PubMed
    Score: 0.033
  8. Likelihood-Based Random-Effect Meta-Analysis of Binary Events. J Biopharm Stat. 2015; 25(5):984-1004.
    View in: PubMed
    Score: 0.026
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.