Connection

Christopher Mcmahan to Models, Statistical

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

0.946
  1. Two-dimensional informative array testing. Biometrics. 2012 Sep; 68(3):793-804.
    View in: PubMed
    Score: 0.307
  2. Biosignature Discovery for Substance Use Disorders Using Statistical Learning. Trends Mol Med. 2018 02; 24(2):221-235.
    View in: PubMed
    Score: 0.117
  3. Group testing regression models with dilution submodels. Stat Med. 2017 Dec 30; 36(30):4860-4872.
    View in: PubMed
    Score: 0.114
  4. 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: 0.099
  5. 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: 0.087
  6. Regression models for group testing data with pool dilution effects. Biostatistics. 2013 Apr; 14(2):284-98.
    View in: PubMed
    Score: 0.082
  7. Regional and local temporal trends in the prevalence of canine heartworm infection in the contiguous United States: 2012-2018. Parasit Vectors. 2019 Jul 30; 12(1):380.
    View in: PubMed
    Score: 0.032
  8. Study design with staggered sampling times for evaluating sustained unresponsiveness to peanut sublingual immunotherapy. Stat Med. 2018 11 30; 37(27):3944-3958.
    View in: PubMed
    Score: 0.030
  9. A general framework for the regression analysis of pooled biomarker assessments. Stat Med. 2017 07 10; 36(15):2363-2377.
    View in: PubMed
    Score: 0.028
  10. Forecasting United States heartworm Dirofilaria immitis prevalence in dogs. Parasit Vectors. 2016 10 10; 9(1):540.
    View in: PubMed
    Score: 0.027
  11. 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
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.