Elena B. Elkin

Coral L. Atoria2
Alvin I Mushlin1
D Maxwell Parkin1
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BACKGROUND Decision curve analysis is a novel method for evaluating diagnostic tests, prediction models and molecular markers. It combines the mathematical simplicity of accuracy measures, such as sensitivity and specificity, with the clinical applicability of decision analytic approaches. Most critically, decision curve analysis can be applied directly to(More)
STUDY OBJECTIVES To develop and validate a model for estimating the risk of lung cancer death in current and former smokers. The model is intended for use in analyzing a population of subjects who are undergoing lung cancer screening or receiving lung cancer chemoprevention, to determine whether the intervention has altered lung cancer mortality. (More)
  • Casey L Daniel, Gregory T Armstrong, Robyn R Keske, Jessica A Davine, Aaron J McDonald, Kim M Sprunck-Harrild +9 others
  • 2015
BACKGROUND Advances in treatment have increased childhood cancer 5-year survival rates to greater than 80%. However, children previously treated with radiation are at significantly increased risk of developing subsequent neoplasms, the most common of which are skin cancers. The National Cancer Institute and Children's Oncology Group have issued(More)
Screening mammography is a cornerstone of preventive health care for adult women in the United States. As rates of screening mammography have declined and plateaued in the past decade, access to services remains a concern. In 2011, we repeated a survey of mammography facilities initially surveyed in 2008 in six states. The availability of digital(More)
To assess the impact of mammography capacity on appointment wait times. We surveyed by telephone all mammography facilities federally certified in 2008 in California, Connecticut, Georgia, Iowa, New Mexico, and New York using a simulated patient format. County-level mammography capacity, defined as the number of mammography machines per 10,000 women aged 40(More)
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