Bhramar Mukherjee

Last updated
PMID 18162111.
  • Kastrinos F, Mukherjee B, Tayob N, Sparr J, Raymond VM, Wang F, Bandipalliam P, Stoffel EM, Gruber SB, Syngal S. The Risk of Pancreatic Cancer in Lynch Syndrome. Journal of the American Medical Association, 302(16):1790–95, 2009, PMCID: PMC4091624.
  • Mukherjee B, Ahn J, Gruber SB, and Chatterjee N. Testing gene-environment interaction in large-scale association studies: possible choices and comparison. American Journal of Epidemiology, 175(3):177-90, 2012, PMCID: PMC3286201. Discussion paper with invited commentary.
  • Mukherjee B, DeLancey JO, Raskin L, et al. Risk of Non-Melanoma Cancers in CDKN2A Mutation Carriers. The Journal of the National Cancer Institute, 104(12):953-56, 2012, PMCID: PMC3379723.
  • Sun Z, Tao Y, Li S, Ferguson KK, Meeker JD, Park SK, Batterman SA, Mukherjee B. Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparison. Environmental Health, 12(1):85, 2013, PMCID: PMC3857674.
  • Boonstra PS, Mukherjee B and Taylor JMG. Bayesian shrinkage methods for partially observed high-dimensional data. The Annals of Applied Statistics, 7(4):2272–92, 2013, PMCID: PMC3891514.
  • He Z, Zhang M, Lee S, Smith JA, Guo X, Palmas W, Kardia SLR, Diez-Roux AV, Mukherjee B. Multi-marker tests for joint association in longitudinal studies using the genetic random field model. Biometrics, 71(3):606-15, 2015, PMCID: PMC4601568.
  • He Z, Zhang M, Lee S, Smith JA, Kardia SLR, Diez Roux AVD, Mukherjee B, Set-Based Tests for Gene-Environment Interaction in Longitudinal Studies. The Journal of the American Statistical Association, Application and Case Studies, 112(519):966-978, 2017, PMCID: PMC5954413.
  • Fritsche L, Gruber SB, Wu Z, Schmidt EM, Zawistowski M, Moser SE, Blanc V, Brummet C, Kheterpal S, Abecasis GA, Mukherjee B. Association of Polygenic Risk Scores for Multiple Cancers in a Phenomewide Study: Results from The Michigan Genomics Initiative, The American Journal of Human Genetics, 102:1048–1061, 2018, PMCID: PMC5992124.
  • Beesley LJ, Mukherjee B. Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification. Biometrics, 1-20,2020, PMID 33179768.
  • Ray D, Salvatore M, Bhattacharyya R, ..., Ghosh P. Mukherjee, B. Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms. Harvard Data Sci Rev. 2020;2020(Suppl 1), PMCID: PMC7326342.
  • Chen C, Haupert SR, Zimmermann L, Shi X, Fritsche LG, Mukherjee B. Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review. J Infect Dis.2022 Nov 1;226(9):1593-1607. PMCID: PMC9047189.
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    Bhramar Mukherjee
    Bhramar Mukherjee.jpg
    Born (1973-10-22) October 22, 1973 (age 50)
    Nationality American
    Citizenship America
    Occupation(s) Biostatistician, data scientist, professor and researcher.
    TitleSenior Associate Dean for Data Science and Data Equity, Anna MR Lauder Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data Science, Yale University.
    Academic background
    Alma mater Presidency College (BSc)
    Indian Statistical Institute (M.Stat)
    Purdue University (MS, PhD)
    Thesis Optimal designs for estimating the path of a stochastic process.  (2001)
    Doctoral advisorWilliam J. Studden