Professor of Biostatistics and Health Policy
Director, Nashville Breast Cohort Study

2525 West End Avenue, Suite 1100
Room / SuiteRoom 11124
Nashville Tennessee 37203

(615) 343-4100
william.dupont@vumc.org

M.Sc. Mathematics, McGill University Ph.D., Biostatistics, Johns Hopkins University


Research Interests

Epidemiology, breast disease, cancer, genetics, hormonal replacement therapy, screening, power and sample calculations, data management, data quality assurance, clinical trials, stopping rules, foundations of statistical inference, likelihood methods

Selected Honors

About

I have worked for the last forty years in collaboration with clinical investigators at Vanderbilt, and for over a decade with Dr. Smith on research concerning the genetic and molecular epidemiology of prostate and breast cancer. Over the prior years, we have collaborated to comprehensively understand the genetic architecture of a prominent cancer risk locus, and to develop accurate clinical risk prediction models encompassing prostate cancer risk loci. Much of my career has been focused on the application of novel and robust biostatistical techniques to the analysis of large databases as part of large epidemiologic studies and clinical trials. As part of this work, I have built and validated complex models of risk prediction. I have coauthored 248 peer-reviewed papers and been the principal investigator of five R01 grants. Most recently, we have collaborated on a study of the effects of tumor mutation burden on survival among patients with 32 types of cancer. This reference is given below on which I am the corresponding author. Four publications from my research with Dr. Smith are:

Positions, Scientific Appointments, and Honors

Positions and Employment

2013-present Professor of Health Policy

2009-2019 Vice-Chair for Academic Affairs, Department of Biostatistics

1992- present Professor of Biostatistics and Preventive Medicine

1989-2003 Director, Division of Biostatistics

1986-1992 Associate Professor of Preventive Medicine and Biostatistics (with tenure)

1977-1985 Assistant Professor of Preventive Medicine and Biostatistics

1977- present Vanderbilt University School of Medicine, Nashville, TN

1976-1977 Lecturer, University of Maryland in Baltimore County

Scientific Appointments, and Honors

2021 Arbogast Collaborative Publication Award – with W. Dale Plummer for an outstanding collaborative publication from a biostatistician or team of biostatisticians in the Department of Biostatistics at Vanderbilt University School of Medicine.

2020 Selected for membership in the Academy for Excellence in Education of the Vanderbilt University School of Medicine.

2009 Fellow, American Statistical Association.

2003 Ernest W. Goodpasture award for Collaborative Studies that address important biological problems and their role in disease pathogenesis (with David L. Page, M.D.).

Contributions to Science

My most important contributions to science have concerned the relationship between benign breast disease and breast cancer risk. I have been the principal investigator on five of NIH R01 grants on this topic. In collaboration with Drs. David L Page, Jeffrey R Smith, and other clinical colleagues I have followed a cohort of 17,000 women with histologically confirmed benign breast disease and have performed nested case-control studies of histologic, immunohistochemical and genetic risk factors for breast cancer in these patients. This work has changed the clinical management of benign breast disease by distinguishing between those benign lesions that were, and were not, associated with increased breast cancer risk. More recently, I have collaborated with Dr. Smith on studies of familiar prostate cancer. Four important publications from this research are as follows:

  • Dupont WD and Page DL: Risk factors for breast cancer in women with proliferative breast disease. N Engl J Med, 1985; 312:146-51. PMID: 3965932.
  • Hartmann LC, Degnim AC, Santen RJ, Dupont WD, Ghosh K. Atypical hyperplasia of the breast–risk assessment and management options. N Engl J Med. 2015; 372(1):78-89. PMCID: PMC4347900.
  • Dupont WD, Blume JD, Smith JR. Building and Validating Complex Models of Breast Cancer Risk. JAMA oncology, 2016; 2(10):1271-1272. PMCID: PMC5278770.
  • Dupont WD, Breyer JP, Plummer WD, Chang SS, Cookson MS, Smith JA, University of Washington Center for Mendelian G, Blue EE, Bamshad MJ, Smith JR. 8q24 genetic variation and comprehensive haplotypes altering familial risk of prostate cancer. Nat Commun. 2020;11 :1523. https://doi.org/10.1038/s41467-020-15122-1 PMCID: PMC7089954.

I have had a long-term interest in developing and facilitating power and sample size calculations. I designed and supervised the writing of the PS program for performing these calculations. This free software is extensively used by bio-medical scientists (search for PS power and sample size). Four publications on this topic are as follows:

  • Dupont WD: Power calculations for matched case-control studies. Biometrics, 1988; 44:1157-68. PMID: 3233252
  • Dupont WD and Plummer WD: Power and sample size calculations: A review and computer program. Controlled Clin Trials, 1990; 11:116-28. PMID: 2161310.
  • Dupont WD and Plummer WD: PS power and sample size program available for free on the Internet. Controlled Clin Trials,1997;18:274.
  • Dupont WD and Plummer WD: Power and sample size calculations for studies involving linear regression. Controlled Clin Trials, 1998; 19: 589-601. PMID: 9875838.

I am interested in the philosophical foundations of statistical inference, and how these principles should be used to improve inferences in medical science. Four papers on this topic are as follows:

  • Dupont WD: Sequential stopping rules and sequentially adjusted P values: Does one require the other? Controlled Clin Trials, 1983; 4:3-10. PMID: 6851579.
  • Dupont WD: Rejoinder: statistical inference from trials with sequential stopping rules. Controlled Clin Trials, 1983; 4:27-33. PMID: 6851578.
  • Dupont WD: Ethics and statistics in randomized clinical trials-comment. Stat Science, 1991; 6:69-71.
  • Choi L, Blume JD, Dupont WD: Elucidating the Foundations of Statistical Inference with 2 x 2 Tables. PLoS ONE. 2015; 10(4):e0121263. PMCID: PMC4388855.

I have collaborated as a co-investigator and biostatistician with Drs. W.A. Ray and C.P Chung on studies of pharmacoepidemiology. These studies have assessed clinical and genetic risks for azathioprine-associated leukopenia in routine clinical practice, the association of inflammation and comorbidity burden in patients with lupus erythematosus, the effect of short-acting opioids on opioid-related adverse events in adolescents, the mortal risks associated with long-acting opioids prescribed for non-cancer pain and the risks of hospital associated bleeding in patients with atrial fibrillation associated with apixaban or rivaroxaban.

  • Ray WA, Chung CP, Stein CM, Smalley W, Zimmerman E, Dupont WD, Hung AM, Daugherty JR, Dickson A, Murray KT. Association of Rivaroxaban vs Apixaban With Major Ischemic or Hemorrhagic Events in Patients With Atrial Fibrillation. JAMA. 2021;326(23):2395-404. PMCID: PMC8693217..
  • Dickson AL, Daniel LL, Jackson E, Zanussi J, Yang W, Plummer WD, Dupont WD, Wei WQ, Nepal P, Hung AM, Cox NJ, Van Driest SL, Feng Q, Yang JJ, Stein CM, Mosley JD, Chung CP. Race, Genotype, and Azathioprine Discontinuation: A Cohort Study. Ann Intern Med. 2022;175(8):1092-9. PMCID: PMC9378477.
  • Corriere MA, Dickson AL, Daniel LL, Nepal P, Hall K, Plummer WD, Dupont WD, Murray KT, Stein CM, Ray WA, Chung CP. Duloxetine, Gabapentin, and the Risk for Acute Myocardial Infarction, Stroke, and Out-of-Hospital Death in Medicare Beneficiaries With Non-Cancer Pain. Clin J Pain. 2023;39(5):203-8. PMCID: PMC10127144.
  • Ray WA, Chung CP, Stein CM, Smalley W, Zimmerman E, Dupont WD, Hung AM, Daugherty JR, Dickson AL, Murray KT. Risk for Bleeding-Related Hospitalizations During Use of Amiodarone With Apixaban or Rivaroxaban in Patients With Atrial Fibrillation: A Retrospective Cohort Study. Ann Intern Med. 2023. PMID 37216662. Free PMC article.

I have collaborated as a co-investigator and biostatistician with Dr. Tina V. Hartert and colleagues on the causes and prevention of asthma. We have found considerable evidence that infantile bronchiolitis increases the risk of childhood asthma. Proving this association and finding ways to prevent lower-tract respiratory infections in infancy could have a major impact on health care costs and quality of life by reducing asthma incidence. Four publications on this research are as follows:

  • Brunwasser SM, Snyder BM, Driscoll AJ, Fell DB, Savitz DA, Feikin DR, Skidmore B, Bhat N, Bont LJ, Dupont WD, Wu P, Gebretsadik T, Holt PG, Zar HJ, Ortiz JR, Hartert TV. Assessing the strength of evidence for a causal effect of respiratory syncytial virus lower respiratory tract infections on subsequent wheezing illness: a systematic review and meta-analysis. Lancet Respir Med. 2020;8(8):795-806. PMCID: PMC7464591.
  • Chirkova T, Rosas-Salazar C, Gebretsadik T, Jadhao SJ, Chappell JD, Peebles RS, Jr., Dupont WD, Newcomb DC, Berdnikovs S, Gergen PJ, Hartert TV, Anderson LJ. Effect of Infant RSV Infection on Memory T Cell Responses at Age 2-3 Years. Front Immunol. 2022;13:826666. PMCID: PMC8967987.
  • Snyder BM, Gebretsadik T, Rohrig NB, Wu P, Dupont WD, Dabelea DM, Fry RC, Lynch SV, McEvoy CT, Paneth NS, Ryckman KK Gern JE Hartert TV. The Associations of Maternal Health Characteristics, Newborn Metabolite Concentrations, and Child Body Mass Index among US Children in the ECHO Program. Metabolites. 2023;13(4):510. PMCID: PMC10144800.
  • Rosas-Salazar C, Chirkova T, Gebretsadik T, Chappell JD, Peebles RS, Jr., Dupont WD, Jadhao SJ, Gergen PJ, Anderson LJ, Hartert TV. Respiratory syncytial virus infection during infancy and asthma during childhood in the USA (INSPIRE): a population-based, prospective birth cohort study. Lancet. 2023; 20;401(10389):1669-1680. https://doi.org/10.1016/S0140-6736(23)00811-5. PMCID: PMC10367596.

Data used in Statistical Modeling for Biomedical Researchers & my MPH course

Conditional logistic regression