Contact information:
Nancy R. Cook, ScD
Associate Biostatistician, Brigham and Women's Hospital
Associate Professor of Medicine (Biostatistics), Harvard Medical School
Associate Professor of Epidemiology, Harvard School of Public Health
Office address:
Division of Preventive Medicine
Brigham and Women's Hospital
900 Commonwealth Avenue East, 3rd Floor
Boston, Massachusetts 02215
Phone: 617-278-0796
FAX: 617-734-1473
E-mail: ncook@rics.bwh.harvard.edu
Primary research interests:
Dr. Cook is involved in the design, conduct and analysis of several longitudinal studies, including both observational studies and randomized trials. These include the Women's Health Study, the Physicians' Health Study, the Women's Anti-Oxidant Cardiovascular Study, and the Trials of Hypertension Prevention (TOHP). She currently leads the TOHP Follow-up Study, which addresses the long-term impact of sodium intake and weight changes on subsequent cardiovascular disease. Dr. Cook's methodologic interests include the implications of measurement error and missing data, especially non-randomly missing blood pressure data, on longitudinal trial and observational results. Dr. Cook is also interested in predictive modeling of observational data, for detecting gene-gene and gene-environment interactions, as well as for developing risk prediction scores using clinical biomarkers.
Selected publications:
Cook NR. Use and misuse of the ROC curve in risk prediction. Circulation 2007; 115:928-35.
Cook NR, Cutler JA, Obarzanek E, Buring JE, Rexrode KM, Kumanyika SK, Appel LJ, Whelton PK, for the Trials of Hypertension Collaborative Research Group. The long-term effects of dietary sodium reduction on cardiovacular disease outcomes: observational follow-up of the Trials of Hypertension Prevention. BMJ 2007; 334:885-88.
Ridker PM, Buring JE, Rifai N, Cook NR. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score Project. JAMA 2007; 297:611-19.
Cook NR, Buring JE, Ridker PM. The effect of including C-reactive protein in cardiovascular risk prediction models for women. Ann Intern Med 2006; 145:21-29.
Cook NR, Kumanyika SK, Cutler JA, Whelton PK, for the Trials of Hypertension Prevention Collaborative Research Group. Dose-response of sodium excretion and blood pressure change among overweight, non-hypertensive adults in a three-year dietary intervention study. J Human Hypertens 2005; 19:47-54.
Ridker PM, Cook NR, Lee I-M, Gordon D, Gaziano JM, Manson JAE, Hennekens CH, Buring JE. A randomized trial of low-dose aspirin in the primary prevention of cardiovascular disease in women. N Engl J Med 2005; 352:1293-304.
Cook NR, Lee I-M, Gaziano JM, Gordon D, Ridker PM, Manson JAE, Hennekens CH, Buring JE. Low-dose aspirin in the primary prevention of cancer: The Women's Health Study: A randomized controlled trial. J Amer Med Assoc 2005; 294:47-55.
Cook NR, Rosner BA, Chen W, Srinivasan SR, Berenson GS. Using area under the curve to reduce measurement error in predicting young adult blood pressure from childhood measures. Stat Med 2004; 23:3421-35.
Cook NR, Zee RYL, Ridker PM. Tree and spline based association analysis of gene-gene interaction models for ischemic stroke. Stat Med 2004; 23:1439-53.
Cook NR, Cole SR, Hennekens CH. Use of a marginal structural model to determine the effect of aspirin on cardiovascular mortality in the Physicians' Health Study. Am J Epidemiol 2002; 155:1045-53.
Ridker PM, Rifai N, Rose L, Buring JE, Cook NR. Comparison of C-reactive protein and low-density lipoprotein cholesterol levels in the prediction of first cardiovascular events. N Engl J Med 2002; 347:1557-65.
Cook NR, Gillman MW, Rosner BA, Taylor JO, Hennekens CH. Combining annual blood pressure measurements in childhood to improve prediction of young adult blood pressure. Stat Med 2000; 19:2625-40.
Cook NR, Kumanyika SK, Cutler JA. The effect of change in sodium excretion on change in blood pressure corrected for measurement error in the Trials of Hypertension Prevention. Am J Epidemiol 1998; 148:431-44.
Cook NR. An imputation method for nonignorable missing data in studies of blood pressure. Stat Med 1997; 16:2713-28.