Connection

Christopher Mcmahan to Computer Simulation

This is a "connection" page, showing publications Christopher Mcmahan has written about Computer Simulation.
Connection Strength

0.567
  1. Adaptive elastic net for group testing. Biometrics. 2019 03; 75(1):13-23.
    View in: PubMed
    Score: 0.125
  2. A partially linear proportional hazards model for current status data. Biometrics. 2018 12; 74(4):1240-1249.
    View in: PubMed
    Score: 0.120
  3. Regression analysis for current status data using the EM algorithm. Stat Med. 2013 Nov 10; 32(25):4452-66.
    View in: PubMed
    Score: 0.084
  4. A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model. Lifetime Data Anal. 2023 01; 29(1):188-212.
    View in: PubMed
    Score: 0.040
  5. Capturing the pool dilution effect in group testing regression: A Bayesian approach. Stat Med. 2022 10 15; 41(23):4682-4696.
    View in: PubMed
    Score: 0.040
  6. An extended proportional hazards model for interval-censored data subject to instantaneous failures. Lifetime Data Anal. 2020 01; 26(1):158-182.
    View in: PubMed
    Score: 0.031
  7. Group testing regression models with dilution submodels. Stat Med. 2017 Dec 30; 36(30):4860-4872.
    View in: PubMed
    Score: 0.028
  8. A general framework for the regression analysis of pooled biomarker assessments. Stat Med. 2017 07 10; 36(15):2363-2377.
    View in: PubMed
    Score: 0.027
  9. A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data. Biometrics. 2016 Mar; 72(1):222-31.
    View in: PubMed
    Score: 0.025
  10. A general regression framework for group testing data, which incorporates pool dilution effects. Stat Med. 2015 Nov 30; 34(27):3606-21.
    View in: PubMed
    Score: 0.024
  11. Two-stage hierarchical group testing for multiple infections with application to the infertility prevention project. Biometrics. 2013 Dec; 69(4):1064-73.
    View in: PubMed
    Score: 0.022
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.