Connection

Dipankar Bandyopadhyay to Periodontal Diseases

This is a "connection" page, showing publications Dipankar Bandyopadhyay has written about Periodontal Diseases.
Connection Strength

2.424
  1. Association between periodontal disease and oral cancer screening among US adults: NHANES 2011-2014. Community Dent Oral Epidemiol. 2022 06; 50(3):216-224.
    View in: PubMed
    Score: 0.732
  2. Bayesian semiparametric variable selection with applications to periodontal data. Stat Med. 2017 06 30; 36(14):2251-2264.
    View in: PubMed
    Score: 0.545
  3. Linear mixed models for skew-normal/independent bivariate responses with an application to periodontal disease. Stat Med. 2010 Nov 10; 29(25):2643-55.
    View in: PubMed
    Score: 0.353
  4. An investigation of the MC-SIMEX method with application to measurement error in periodontal outcomes. Stat Med. 2009 Dec 10; 28(28):3523-38.
    View in: PubMed
    Score: 0.331
  5. A graphical model for skewed matrix-variate non-randomly missing data. Biostatistics. 2020 04 01; 21(2):e80-e97.
    View in: PubMed
    Score: 0.169
  6. Augmented mixed models for clustered proportion data. Stat Methods Med Res. 2017 04; 26(2):880-897.
    View in: PubMed
    Score: 0.117
  7. Health insurance status is associated with periodontal disease progression among Gullah African-Americans with type 2 diabetes mellitus. J Public Health Dent. 2011; 71(2):143-51.
    View in: PubMed
    Score: 0.089
  8. Semiparametric Bayesian latent variable regression for skewed multivariate data. Biometrics. 2019 06; 75(2):528-538.
    View in: PubMed
    Score: 0.039
  9. Augmented mixed beta regression models for periodontal proportion data. Stat Med. 2014 Sep 20; 33(21):3759-71.
    View in: PubMed
    Score: 0.028
  10. Likelihood methods for binary responses of present components in a cluster. Biometrics. 2011 Jun; 67(2):629-35.
    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.