alexa MEREDITH M. REGAN | Dana-Farber Cancer Institute
ISSN: 2155-6180

Journal of Biometrics & Biostatistics
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MEREDITH M. REGAN International Breast Cancer Study Group (IBCSG) Statistical Center, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA. Harvard School of Public Health and Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA

Dr. Regan received her ScD in Biostatistics from Harvard School of Public Health in 1998. After completing a fellowship at the Biometrics Center at Beth Israel Deaconess Medical Center, she joined the faculty as a biostatistician and Instructor of Medicine, Harvard Medical School. In 2003 she joined the Dana-Farber Cancer Institute Department of Biostatistics and Computational Biology where she is Senior Research Scientist and Assistant Professor of Medicine, Harvard Medical School. Dr. Regan was appointed Group Statistician for the International Breast Cancer Study Group (IBCSG) in 2009.

Research Interest

Dr. Regan has collaborated with DF/HCC genitourinary cancers researchers since 2000. She is Director of the Biostatistics Cores of the DF/HCC Prostate Cancer SPORE and DF/HCC Kidney Cancer SPORE grants and consulting biostatistician for the Harvard/Michigan Prostate Cancer Biomarker Clinical Center EDRN grant. Dr. Regan is Group Statistician for the International Breast Cancer Study Group (IBCSG). She is the lead statistician for a suite of three international randomized clinical trials (the "STP trials") evaluating the role of ovarian function suppression and adjuvant endocrine therapy in premenopausal women with early-stage breast cancer. With Prof. Giuseppe Viale and Dr. Olivia Pagani, Dr. Regan is co-PI of the IBCSG's Susan G. Komen Promise Grant which established an international collaboration of researchers to determine, among premenopausal (TEXT trial) and postmenopausal women (trial BIG 1-98), features of the disease or patient that inform selection of endocrine therapy for individual patients.

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