Our Team

 

Nancy Cook, ScD, is a biostatistician and Professor in the Department of Medicine at the Brigham & Women’s Hospital and Harvard Medical School, and Professor of Epidemiology at the Harvard School of Public Health.  Dr. Cook is involved in the design, conduct, and analysis of several large randomized trials, including the Women’s Health Study, the Physicians’ Health Study, and the VITamin D and OmegA-3 TriaL (VITAL). Dr. Cook is also interested in modeling observational data for developing risk prediction scores using clinical and genetic biomarkers. She has helped develop the Reynolds Risk Score for cardiovascular disease as well as reclassification methods for comparing and evaluating risk prediction models.

 

http://researchfaculty.brighamandwomens.org/BRIProfile.aspx?id=1523

http://www.hsph.harvard.edu/nancy-cook/

https://connects.catalyst.harvard.edu/Profiles/display/Person/72956

 

She is also co-editor-in-chief, along with Karel G.M. Moons and Gary Collins, of a new BioMed Central journal,

Diagnostic and Prognostic Research, which encompasses all aspects of diagnostic and prognostic research and addresses studies on the evaluation of medical tests, markers, prediction models, decision tools, and apps. It can be found at: https://diagnprognres.biomedcentral.com/

 

Nina Paynter, PhD, is an Assistant Professor in the Department of Medicine at the Brigham & Women’s Hospital and Harvard Medical School. Dr. Paynter's main research interests are the interrelationship of the major cardiovascular risk factors (including type 2 diabetes, blood pressure, lipids, inflammation, body mass index, exercise, and diet) and the effects of genetic factors on these interrelationships.  Her previous work has been focused primarily on cardiovascular risk prediction and has also included development and evaluation of risk prediction methods.

 

http://researchfaculty.brighamandwomens.org/BRIProfile.aspx?id=844

https://connects.catalyst.harvard.edu/Profiles/display/Person/67415

 

 

Olga Demler, PhD, is an Assistant Professor in the Department of Medicine at the Brigham & Women’s Hospital and Harvard Medical School. Dr. Demler’s work is related to predictive models and measures used to assess these. This includes work on comparison of ROC curves, reclassification metrics, and model calibration in the setting of survival data. Dr. Demler is also interested in the design, conduct and analysis of clinical research data and particularly in the application of risk prediction models in cardiovascular research.

 

https://connects.catalyst.harvard.edu/Profiles/display/Person/61711