Connection

Brian Neelon to Algorithms

This is a "connection" page, showing publications Brian Neelon has written about Algorithms.
Connection Strength

0.413
  1. A Bayesian zero-inflated beta-binomial model for longitudinal data with group-specific changepoints. Stat Med. 2024 01 15; 43(1):125-140.
    View in: PubMed
    Score: 0.150
  2. The LZIP: A Bayesian latent factor model for correlated zero-inflated counts. Biometrics. 2017 03; 73(1):185-196.
    View in: PubMed
    Score: 0.090
  3. A spatial bivariate probit model for correlated binary data with application to adverse birth outcomes. Stat Methods Med Res. 2014 Apr; 23(2):119-33.
    View in: PubMed
    Score: 0.068
  4. A Bayesian growth mixture model to examine maternal hypertension and birth outcomes. Stat Med. 2011 Sep 30; 30(22):2721-35.
    View in: PubMed
    Score: 0.064
  5. 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: 0.025
  6. Bayesian latent factor regression for functional and longitudinal data. Biometrics. 2012 Dec; 68(4):1064-73.
    View in: PubMed
    Score: 0.017
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.