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.

Member
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. Szalewska D, Glówczynska R, Piotrowicz R, Kowalik I, Pencina MJ, Opolski G, Zareba W, Banach M, Orzechowski P, Pluta S, Irzmanski R, Kalarus Z, Piotrowicz E. An aetiology-based subanalysis of the Telerehabilitation in Heart Failure Patients (TELEREH-HF) trial. ESC Heart Fail. 2021 Feb 01. PMID: 33527740
     
  2. Sriram K, Mulder HS, Frank HR, Santanam TS, Skinner AC, Perrin EM, Armstrong SC, Peterson ED, Pencina MJ, Wong CA. The Dose-Response Relationship Between Physical Activity and Cardiometabolic Health in Adolescents. Am J Prev Med. 2021 01; 60(1):95-103. PMID: 33341183
     
  3. Pluta S, Piotrowicz E, Piotrowicz R, Lewicka E, Zareba W, Koziel M, Kowalik I, Pencina MJ, Oreziak A, Cacko A, Szalewska D, Glówczynska R, Banach M, Opolski G, Orzechowski P, Irzmanski R, Kalarus Z. Remote Monitoring of Cardiac Implantable Electronic Devices in Patients Undergoing Hybrid Comprehensive Telerehabilitation in Comparison to the Usual Care. Subanalysis from Telerehabilitation in Heart Failure Patients (TELEREH-HF) Randomised Clinical Trial. J Clin Med. 2020 Nov 20; 9(11). PMID: 33233613
     
  4. Goldstein BA, Pencina MJ. Testing Clinical Prediction Models. JAMA. 2020 11 17; 324(19):1998-1999. PMID: 33201199
     
  5. Wosik J, Clowse MEB, Overton R, Adagarla B, Economou-Zavlanos N, Cavalier J, Henao R, Piccini JP, Thomas L, Pencina MJ, Pagidipati NJ. Impact of the COVID-19 pandemic on patterns of outpatient cardiovascular care. Am Heart J. 2021 01; 231:1-5. PMID: 33137309
     
  6. 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
     
  7. 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
     
  8. 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
     
  9. 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
     
  10. 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
     
Showing 10 of 365 results. Show More

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

Bar chart showing 365 publications over 18 distinct years, with a maximum of 35 publications in 2013

YearPublications
20042
20058
20067
200713
200824
200916
201026
201132
201230
201335
201434
201531
201634
201721
201811
201921
202018
20212

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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