Michael J Pencina, PhD
Adjunct Professor
Boston University School of Public Health
Dept of Biostatistics

PhD, Boston University
MA, University of Warsaw

Dr. Michael Pencina is the Duke Clinical Research Institute Director of Biostatistics. He is Professor of Biostatistics & Bioinformatics at Duke and Adjunct Professor in the Department of Biostatistics at Boston University.

As the DCRI Director of Biostatistics, Dr. Pencina serves as a key institutional leader overseeing the strategic and operational direction of our biostatistics talent and resources at the DCRI. In this role, Dr. Pencina guides a strategic vision to meet the needs of DCRI investigators by developing necessary infrastructure while also partnering with the Biostatistics & Bioinformatics Department to assure that the DCRI’s objectives and services are well understood and supported.

Prior to joining the DCRI in 2013, Dr. Pencina served as an associate professor in the Department of Biostatistics at Boston University and as Director of Statistical Consulting at the Harvard Clinical Research Institute. He brings a wealth of experience in both clinical trials and observational analyses. He has worked on a number of large clinical trials as well as Framingham Heart Study projects. Dr. Pencina is an expert in cardiovascular disease risk prediction model development and assessment of performance. The novel metrics (net reclassification improvement and integrated discrimination improvement) for the assessment of usefulness of new biomarkers and genetic factors in risk prediction proposed by Dr. Pencina have been incorporated into the reporting guidelines. For the past year, Dr. Pencina has also served as the Associate Editor for Statistics in Medicine. He has authored more than 150 manuscripts that have been published in peer-reviewed journals. Dr. Pencina earned his PhD in Mathematics and Statistics at Boston University.
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

  1. Pagidipati NJ, Navar AM, Pencina MJ. Guideline Recommendations for Statin Therapy-Reply. JAMA. 2017 09 12; 318(10):964. PMID: 28898376.
  2. Thanassoulis G, Pencina MJ, Sniderman AD. The Benefit Model for Prevention of Cardiovascular Disease: An Opportunity to Harmonize Guidelines. JAMA Cardiol. 2017 Aug 09. PMID: 28793137.
  3. Brennan JM, Thomas L, Cohen DJ, Shahian D, Wang A, Mack MJ, Holmes DR, Edwards FH, Frankel NZ, Baron SJ, Carroll J, Thourani V, Tuzcu EM, Arnold SV, Cohn R, Maser T, Schawe B, Strong S, Stickfort A, Patrick-Lake E, Graham FL, Dai D, Li F, Matsouaka RA, O''Brien S, Li F, Pencina MJ, Peterson ED. Transcatheter Versus Surgical Aortic Valve Replacement: Propensity-Matched Comparison. J Am Coll Cardiol. 2017 Jul 25; 70(4):439-450. PMID: 28728688.
  4. Demler OV, Pencina MJ, Cook NR, D''Agostino RB. Asymptotic distribution of ?AUC, NRIs, and IDI based on theory of U-statistics. Stat Med. 2017 Sep 20; 36(21):3334-3360. PMID: 28627112.
  5. Calis KA, Archdeacon P, Bain R, DeMets D, Donohue M, Elzarrad MK, Forrest A, McEachern J, Pencina MJ, Perlmutter J, Lewis RJ. Recommendations for data monitoring committees from the Clinical Trials Transformation Initiative. Clin Trials. 2017 Aug; 14(4):342-348. PMID: 28503947.
  6. Goldstein BA, Pomann GM, Winkelmayer WC, Pencina MJ. A comparison of risk prediction methods using repeated observations: an application to electronic health records for hemodialysis. Stat Med. 2017 Jul 30; 36(17):2750-2763. PMID: 28464332.
  7. Pagidipati NJ, Navar AM, Mulder H, Sniderman AD, Peterson ED, Pencina MJ. Comparison of Recommended Eligibility for Primary Prevention Statin Therapy Based on the US Preventive Services Task Force Recommendations vs the ACC/AHA Guidelines. JAMA. 2017 Apr 18; 317(15):1563-1567. PMID: 28418481; DOI: 10.1001/jama.2017.3416;.
  8. Nagarajan V, Fonarow GC, Ju C, Pencina M, Laskey WK, Maddox TM, Hernandez A, Bhatt DL. Seasonal and circadian variations of acute myocardial infarction: Findings from the Get With The Guidelines-Coronary Artery Disease (GWTG-CAD) program. Am Heart J. 2017 Jul; 189:85-93. PMID: 28625385.
  9. Spratt SE, Pereira K, Granger BB, Batch BC, Phelan M, Pencina M, Miranda ML, Boulware E, Lucas JE, Nelson CL, Neely B, Goldstein BA, Barth P, Richesson RL, Riley IL, Corsino L, McPeek Hinz ER, Rusincovitch S, Green J, Barton AB, Kelley C, Hyland K, Tang M, Elliott A, Ruel E, Clark A, Mabrey M, Morrissey KL, Rao J, Hong B, Pierre-Louis M, Kelly K, Jelesoff N. Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus. J Am Med Inform Assoc. 2017 Apr 01; 24(e1):e121-e128. PMID: 27616701; DOI: 10.1093/jamia/ocw123;.
  10. Xian Y, O'Brien EC, Liang L, Xu H, Schwamm LH, Fonarow GC, Bhatt DL, Smith EE, Olson DM, Maisch L, Hannah D, Lindholm B, Lytle BL, Pencina MJ, Hernandez AF, Peterson ED. Association of Preceding Antithrombotic Treatment With Acute Ischemic Stroke Severity and In-Hospital Outcomes Among Patients With Atrial Fibrillation. JAMA. 2017 03 14; 317(10):1057-1067. PMID: 28291892; DOI: 10.1001/jama.2017.1371;.
Showing 10 of 303 results. Show More

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 303 publications over 14 distinct years, with a maximum of 34 publications in 2013 and 2016

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801 Massachusetts Ave Crosstown Center
Boston MA 02118
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