Connection

Christopher Mcmahan to Mass Screening

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

3.535
  1. Modelling the impact of presemester testing on COVID-19 outbreaks in university campuses. BMJ Open. 2020 12 15; 10(12):e042578.
    View in: PubMed
    Score: 0.482
  2. The objective function controversy for group testing: Much ado about nothing? Stat Med. 2019 10 30; 38(24):4912-4923.
    View in: PubMed
    Score: 0.441
  3. Informative group testing for multiplex assays. Biometrics. 2019 03; 75(1):278-288.
    View in: PubMed
    Score: 0.428
  4. Adaptive elastic net for group testing. Biometrics. 2019 03; 75(1):13-23.
    View in: PubMed
    Score: 0.427
  5. Rejoinder to "Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification". Biometrics. 2016 Mar; 72(1):303-4.
    View in: PubMed
    Score: 0.335
  6. Regression models for group testing data with pool dilution effects. Biostatistics. 2013 Apr; 14(2):284-98.
    View in: PubMed
    Score: 0.276
  7. Two-dimensional informative array testing. Biometrics. 2012 Sep; 68(3):793-804.
    View in: PubMed
    Score: 0.259
  8. Informative Dorfman screening. Biometrics. 2012 Mar; 68(1):287-96.
    View in: PubMed
    Score: 0.251
  9. 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: 0.135
  10. Surveillance-based informative testing for detection and containment of SARS-CoV-2 outbreaks on a public university campus: an observational and modelling study. Lancet Child Adolesc Health. 2021 06; 5(6):428-436.
    View in: PubMed
    Score: 0.123
  11. Array testing for multiplex assays. Biostatistics. 2020 07 01; 21(3):417-431.
    View in: PubMed
    Score: 0.117
  12. Bayesian regression for group testing data. Biometrics. 2017 12; 73(4):1443-1452.
    View in: PubMed
    Score: 0.093
  13. 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: 0.083
  14. Generalized additive regression for group testing data. Biostatistics. 2021 10 13; 22(4):873-889.
    View in: PubMed
    Score: 0.032
  15. Incorporating the dilution effect in group testing regression. Stat Med. 2021 05 20; 40(11):2540-2555.
    View in: PubMed
    Score: 0.031
  16. Estimating the prevalence of multiple diseases from two-stage hierarchical pooling. Stat Med. 2016 09 20; 35(21):3851-64.
    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.