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.

Boston University
Evans Center for Interdisciplinary Biomedical Research

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.

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  1. Chapfuwa P, Tao C, Li C, Khan I, Chandross KJ, Pencina MJ, Carin L, Henao R. Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans Neural Netw Learn Syst. 2020 Oct 29; PP. PMID: 33119513
  2. Thomas LE, Bonow RO, Pencina MJ. Understanding Observational Treatment Comparisons in the Setting of Coronavirus Disease 2019 (COVID-19). JAMA Cardiol. 2020 09 01; 5(9):988-990. PMID: 32936260
  3. Sniderman AD, Thanassoulis G, Pencina M. Prevention of cardiovascular disease: time for a course correction. Eur Heart J. 2020 Aug 14; 41(31):3016-3017. PMID: 32286612
  4. Curfman G, Bhatt DL, Pencina M. Federal judge invalidates icosapent ethyl patents - but on the basis of a common statistical mistake. Nat Biotechnol. 2020 08; 38(8):939-941. PMID: 32760020
  5. Pencina MJ, Pencina KM, Lloyd-Jones D, Catapano AL, Thanassoulis G, Sniderman AD. The Expected 30-Year Benefits of Early Versus Delayed Primary Prevention of Cardiovascular Disease by Lipid Lowering. Circulation. 2020 Sep; 142(9):827-837. PMID: 32700572
  6. Frank HR, Mulder H, Sriram K, Santanam TS, Skinner AC, Perrin EM, Armstrong SC, Peterson ED, Pencina M, Wong CA. The Dose-Response Relationship Between Physical Activity and Cardiometabolic Health in Young Adults. J Adolesc Health. 2020 Aug; 67(2):201-208. PMID: 32571756
  7. Thomas LE, Li F, Pencina MJ. Overlap Weighting: A Propensity Score Method That Mimics Attributes of a Randomized Clinical Trial. JAMA. 2020 06 16; 323(23):2417-2418. PMID: 32369102
  8. Arges K, Assimes T, Bajaj V, Balu S, Bashir MR, Beskow L, Blanco R, Califf R, Campbell P, Carin L, Christian V, Cousins S, Das M, Dockery M, Douglas PS, Dunham A, Eckstrand J, Fleischmann D, Ford E, Fraulo E, French J, Gambhir SS, Ginsburg GS, Green RC, Haddad F, Hernandez A, Hernandez J, Huang ES, Jaffe G, King D, Koweek LH, Langlotz C, Liao YJ, Mahaffey KW, Marcom K, Marks WJ, Maron D, McCabe R, McCall S, McCue R, Mega J, Miller D, Muhlbaier LH, Munshi R, Newby LK, Pak-Harvey E, Patrick-Lake B, Pencina M, Peterson ED, Rodriguez F, Shore S, Shah S, Shipes S, Sledge G, Spielman S, Spitler R, Schaack T, Swamy G, Willemink MJ, Wong CA. The Project Baseline Health Study: a step towards a broader mission to map human health. NPJ Digit Med. 2020; 3:84. PMID: 32550652
  9. Thomas LE, Bonow RO, Pencina MJ. Understanding Observational Treatment Comparisons in the Setting of Coronavirus Disease 2019 (COVID-19). JAMA Cardiol. 2020 May 05. PMID: 32369098
  10. Marquis-Gravel G, Roe MT, Robertson HR, Harrington RA, Pencina MJ, Berdan LG, Hammill BG, Faulkner M, Muñoz D, Fonarow GC, Nallamothu BK, Fintel DJ, Ford DE, Zhou L, Daugherty SE, Nauman E, Kraschnewski J, Ahmad FS, Benziger CP, Haynes K, Merritt JG, Metkus T, Kripalani S, Gupta K, Shah RC, McClay JC, Re RN, Geary C, Lampert BC, Bradley SM, Jain SK, Seifein H, Whittle J, Roger VL, Effron MB, Alvarado G, Goldberg YH, VanWormer JL, Girotra S, Farrehi P, McTigue KM, Rothman R, Hernandez AF, Jones WS. Rationale and Design of the Aspirin Dosing-A Patient-Centric Trial Assessing Benefits and Long-term Effectiveness (ADAPTABLE) Trial. JAMA Cardiol. 2020 May 01; 5(5):598-607. PMID: 32186653
Showing 10 of 359 results. Show More

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

Bar chart showing 359 publications over 17 distinct years, with a maximum of 35 publications in 2013


In addition to these self-described keywords below, a list of MeSH based concepts is available here.

cardiovascular disease risk prediction model development
statistics in medicine
data science
machine learning
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