His primary areas of study are Internal medicine, Framingham Heart Study, Framingham Risk Score, Cohort study and Risk factor. His Internal medicine study incorporates themes from Diabetes mellitus, Endocrinology, Surgery and Cardiology. Michael J. Pencina has researched Framingham Heart Study in several fields, including Epidemiology, Obesity, Proportional hazards model and Incidence.
The Framingham Risk Score study combines topics in areas such as Odds ratio, Confidence interval, Atrial fibrillation, Heart disease and Cohort. Michael J. Pencina combines subjects such as Prospective cohort study and Physical therapy with his study of Cohort study. Risk factor and Heart failure are commonly linked in his work.
Michael J. Pencina focuses on Internal medicine, Cardiology, Framingham Risk Score, Framingham Heart Study and Risk factor. His studies deal with areas such as Diabetes mellitus, Endocrinology and Surgery as well as Internal medicine. Cardiology is closely attributed to Blood pressure in his work.
The study incorporates disciplines such as Prospective cohort study, Cohort and Intima-media thickness in addition to Framingham Risk Score. His Framingham Heart Study research focuses on Proportional hazards model and how it relates to Stroke. His research integrates issues of Epidemiology and Incidence in his study of Risk factor.
Michael J. Pencina spends much of his time researching Internal medicine, Randomized controlled trial, Intensive care medicine, Disease and Observational study. His work carried out in the field of Internal medicine brings together such families of science as Diabetes mellitus and Cardiology. His work in the fields of Cardiology, such as Myocardial infarction, intersects with other areas such as In patient.
His Randomized controlled trial research is multidisciplinary, incorporating perspectives in Clinical trial, Heart failure, Weighting, Physical therapy and Telerehabilitation. He works mostly in the field of Hazard ratio, limiting it down to topics relating to Randomization and, in certain cases, Confidence interval, as a part of the same area of interest. His work deals with themes such as Cohort study, Event, Retrospective cohort study, Prospective cohort study and Risk factor, which intersect with Cohort.
Michael J. Pencina mostly deals with Internal medicine, Randomized controlled trial, Diabetes mellitus, Observational study and Physical therapy. Internal medicine is closely attributed to Cardiology in his study. His Cardiology research is multidisciplinary, relying on both Ldl cholesterol and Blood pressure.
The concepts of his Randomized controlled trial study are interwoven with issues in Absolute risk reduction, Clinical trial, Intensive care medicine, Evidence-based medicine and Dosing. His biological study spans a wide range of topics, including Lower risk, Sample, Logistic regression and Disease. His studies in Physical therapy integrate themes in fields like Imaging study, Radiology, Optimal management, Chest pain and Value.
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General Cardiovascular Risk Profile for Use in Primary Care The Framingham Heart Study
Ralph B. D’Agostino;Ramachandran S. Vasan;Michael J. Pencina;Philip A. Wolf.
Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
Michael J Pencina;Ralph B D'Agostino;Ramachandran S Vasan.
Statistics in Medicine (2008)
Assessing the performance of prediction models: a framework for traditional and novel measures.
Ewout W. Steyerberg;Andrew J. Vickers;Nancy R. Cook;Thomas Gerds.
Vitamin D Deficiency and Risk of Cardiovascular Disease
Thomas J. Wang;Michael J. Pencina;Sarah L. Booth;Paul F. Jacques.
Effect of Sitagliptin on Cardiovascular Outcomes in Type 2 Diabetes
Jennifer B Green;M. Angelyn Bethel;Paul W Armstrong;John B Buse.
The New England Journal of Medicine (2015)
Arterial Stiffness and Cardiovascular Events The Framingham Heart Study
Gary F. Mitchell;Shih-Jen Hwang;Ramachandran S. Vasan;Martin G. Larson.
Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
Michael J. Pencina;Ralph B. D'Agostino;Ewout W. Steyerberg.
Statistics in Medicine (2011)
One-Year Cardiovascular Event Rates in Outpatients With Atherothrombosis
Ph. Gabriel Steg;Deepak L. Bhatt;Peter W. F. Wilson;Ralph D’Agostino.
Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation
Michael J. Pencina;Ralph B. D'Agostino.
Statistics in Medicine (2004)
Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study
Renate B Schnabel;Lisa M Sullivan;Daniel Levy;Michael J Pencina.
The Lancet (2009)
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