Todd A MacKenzie, PhD
Title(s):
Professor of Biomedical Data Science
Professor of Medicine
Professor of The Dartmouth Institute
Additional Titles/Positions/Affiliations:
Director of Master's Degree in Health Data Science
Department(s):
Biomedical Data Science
Medicine
The Dartmouth Institute
Education:
PhD (Statistics), McGill University, 1997
MSc (Statistics), McGill University, 1993
BSc, Dalhousie University, 1990
Programs:
Norris Cotton Cancer Center
Quantitative Biomedical Sciences
SYNERGY
The Dartmouth Institute for Health Policy and Clinical Practice
Websites:
http:
Contact Information:
Section of Clinical Research, HB 7505
One Medical Center Drive
Dartmouth Hitchcock Medical Center
Lebanon NH 03756
Phone: 603-653-3542
Fax: 603-653-3554
Email: Todd.A.MacKenzie@Dartmouth.edu
Professional Interests:
I use data science to help clinical and health services researchers from a vast spectrum of disciplines and specialties which has resulted in 250 publications. The majority of these projects involve comparative effectiveness, clinical trials, association studies, and prediction modeling. I am especially interested in survival (aka, time-to-event) analysis, causal inference and most recently the decline in American longevity.
Courses Taught:
QBS 121: Biostatistics II; a course in statistical modelling (Winter) with Tor Tosteson
Past Teaching:
PH 271 (TDI) "Practice of Statistics in Medicine" with James O'Malley: This course was aimed at junior faculty, post-doctoral fellows and PhD students.
PH 147 (TDI) "Advanced Methods in Health Services Research" with Tracy Onega
PEMM 107 "Biostatistics" : A course in biostatistics I developed for bench and translational scientists in molecular medicine.
Selected Publications: |
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Weight change and risk of the foundation of National Institute of Health Sarcopenia-defined low lean mass: Data from the National Health and Nutrition examination surveys 1999-2004. Role of Sex in Determining Treatment Type for Patients Undergoing Endovascular Lower Extremity Revascularization. Galectin-3 as a Predictor of Long-term Survival After Isolated Coronary Artery Bypass Grafting Surgery. Biomarkers improve prediction of 30-day unplanned readmission or mortality after paediatric congenital heart surgery. Cardiac Biomarkers Predict Long-term Survival After Cardiac Surgery. Multicenter, Open-Label, Phase II Study of Bendamustine and Rituximab Followed by 90-Yttrium (Y) Ibritumomab Tiuxetan for Untreated Follicular Lymphoma (Fol-BRITe). Altered Stool Microbiota of Infants with Cystic Fibrosis Shows a Reduction in Genera Associated with Immune Programming from Birth. The impact of frequent cystoscopy on surgical care and cancer outcomes among patients with low-risk, non-muscle-invasive bladder cancer. Influence of child-targeted fast food TV advertising exposure on fast food intake: A longitudinal study of preschool-age children. Middle-aged death and taxes in the USA: Association of state tax burden and expenditures in 2005 with survival from 2006 to 2015. |
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