Edwin Severin Iversen

Edwin Severin Iversen

Research Professor of Statistical Science

External address: 
211E Old Chem, Durham, NC 27708
Internal office address: 
Box 90251, Durham, NC 27708-0251
Phone: 
(919) 681-8442

Overview

Bayesian statistical modeling with application to problems in genetic
epidemiology and cancer research; models for epidemiological risk
assessment, including hierarchical methods for combining related
epidemiological studies; ascertainment corrections for high risk
family data; analysis of high-throughput genomic data sets.

Education & Training

  • Ph.D., Yale University 1995

  • M.S., University of Chicago 1989

  • B.S., University of Chicago 1987

Selected Grants

MAYO Clinic Breast Cancer SPORE-Project 1: Cancer risks for mutations in breast cancer awarded by Mayo Clinic (Principal Investigator). 2005 to 2021

Bioinformatics and Computational Biology Training Program awarded by National Institutes of Health (Mentor). 2005 to 2021

Biodosimetry High-Throughput Test awarded by DxTerity Diagnostics (Co Investigator). 2017 to 2019

Discovery of Novel Rare Variants as Ovarian Cancer Susceptibility Factors awarded by MD Anderson Cancer Center (Co Investigator). 2016 to 2019

OC3 Subtype-Specific Risk Model awarded by H. Lee Moffitt Cancer Center & Research Institute (Principal Investigator). 2018

Early child care and risk of obesity awarded by Johns Hopkins University - School of Public Health (Co Investigator). 2015 to 2018

BRCA 1 and BRCA2 missense mutations and breast cancer risk awarded by Mayo Clinic (Principal Investigator). 2013 to 2018

Early child care and risk of obesity awarded by National Institutes of Health (Co Investigator). 2012 to 2017

Epidemiologic factors and survival by molecular subtypes of ovarian cancer awarded by Fred Hutchinson Cancer Research Center (Principal Investigator). 2015 to 2017

Epidemiologic factors and survival by molecular subtypes of ovarian cancer awarded by Fred Hutchinson Cancer Research Center (Co Investigator). 2013 to 2017

Pages

Reid, Brett M., et al. “Genome-wide analysis of common copy number variation and epithelial ovarian cancer risk..” Cancer Epidemiology, Biomarkers & Prevention : A Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology, Apr. 2019. Epmc, doi:10.1158/1055-9965.epi-18-0833. Full Text