Connection

Brian Neelon to Monte Carlo Method

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

0.279
  1. 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: 0.099
  2. 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: 0.093
  3. Bayesian isotonic regression and trend analysis. Biometrics. 2004 Jun; 60(2):398-406.
    View in: PubMed
    Score: 0.057
  4. Evaluation of treatment efficacy using a Bayesian mixture piecewise linear model of longitudinal biomarkers. Stat Med. 2015 May 10; 34(10):1733-46.
    View in: PubMed
    Score: 0.030
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.