Connection

Dipankar Bandyopadhyay to Models, Statistical

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

6.250
  1. Bayesian additive regression trees for multivariate skewed responses. Stat Med. 2023 02 10; 42(3):246-263.
    View in: PubMed
    Score: 0.658
  2. Weighted least-squares regression with competing risks data. Stat Med. 2022 01 30; 41(2):227-241.
    View in: PubMed
    Score: 0.610
  3. Spatial skew-normal/independent models for nonrandomly missing clustered data. Stat Med. 2021 06 15; 40(13):3085-3105.
    View in: PubMed
    Score: 0.586
  4. Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models. Stat Med. 2021 05 10; 40(10):2400-2412.
    View in: PubMed
    Score: 0.582
  5. A graphical model for skewed matrix-variate non-randomly missing data. Biostatistics. 2020 04 01; 21(2):e80-e97.
    View in: PubMed
    Score: 0.547
  6. Bayesian semiparametric variable selection with applications to periodontal data. Stat Med. 2017 06 30; 36(14):2251-2264.
    View in: PubMed
    Score: 0.441
  7. Augmented mixed models for clustered proportion data. Stat Methods Med Res. 2017 04; 26(2):880-897.
    View in: PubMed
    Score: 0.379
  8. Bridging conditional and marginal inference for spatially referenced binary data. Biometrics. 2013 Jun; 69(2):545-54.
    View in: PubMed
    Score: 0.341
  9. Some considerations for excess zeroes in substance abuse research. Am J Drug Alcohol Abuse. 2011 Sep; 37(5):376-82.
    View in: PubMed
    Score: 0.302
  10. Hidden Markov models for zero-inflated Poisson counts with an application to substance use. Stat Med. 2011 Jun 30; 30(14):1678-94.
    View in: PubMed
    Score: 0.295
  11. Proportional odds model for dose-finding clinical trial designs with ordinal toxicity grading. Stat Med. 2011 Jul 30; 30(17):2070-80.
    View in: PubMed
    Score: 0.291
  12. 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: 0.285
  13. 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: 0.268
  14. Bayesian modeling of multivariate spatial binary data with applications to dental caries. Stat Med. 2009 Dec 10; 28(28):3492-508.
    View in: PubMed
    Score: 0.268
  15. Composite likelihood inference for ordinal periodontal data with replicated spatial patterns. Stat Med. 2021 11 20; 40(26):5871-5893.
    View in: PubMed
    Score: 0.150
  16. A multilevel model for spatially correlated binary data in the presence of misclassification: an application in oral health research. Stat Med. 2013 Dec 30; 32(30):5241-59.
    View in: PubMed
    Score: 0.087
  17. Likelihood methods for binary responses of present components in a cluster. Biometrics. 2011 Jun; 67(2):629-35.
    View in: PubMed
    Score: 0.070
  18. A spatial beta-binomial model for clustered count data on dental caries. Stat Methods Med Res. 2011 Apr; 20(2):85-102.
    View in: PubMed
    Score: 0.069
  19. Modeling longitudinal drinking data in clinical trials: an application to the COMBINE study. Drug Alcohol Depend. 2013 Sep 01; 132(1-2):244-50.
    View in: PubMed
    Score: 0.021
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.