Evan C. Hadley
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Evan C. Hadley has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
Arlene S. Ash
National Institute on Aging 7201 Wisconsin Avenue 20892-9205 Bethesda MD
1 shared publication- Kaare Christensen
Danish Aging Research Center, Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, Odense, Denmark
1 shared publication Michael Province
National Institute on Aging 7201 Wisconsin Avenue 20892-9205 Bethesda MD
1 shared publication- Paola Sebastiani
Institute for Clinical Research and Health Policy Studies, Tufts Medical Center
1 shared publication - Thomas T. Perls
Department of Medicine, Section of Geriatrics, Boston Medical Center, Boston University School of Medicine, Boston, MA 02118, USA
1 shared publication Winifred Rossi
National Institute on Aging 7201 Wisconsin Avenue 20892-9205 Bethesda MD
1 shared publication
Latest Publications
- Open Access
- 12 November 2009
- Published by Oxford University Press (OUP) in American Journal of Epidemiology
- Vol. 170 (12) , 1555-1562
A Family Longevity Selection Score: Ranking Sibships by Their Longevity, Size, and Availability for Study
Family studies of exceptional longevity can potentially identify genetic and other factors contributing to long life and healthy aging. Although such studies seek families that are exceptionally long lived, they also need living members who can provide DNA and phenotype information. On the basis of these considerations, the authors developed a metric to rank families for selection into a family study of longevity. Their measure, the family longevity selection score (FLoSS), is the sum of 2 components: 1) an estimated family longevity score built from birth-, gender-, and nation-specific cohort survival probabilities and 2) a bonus for older living siblings. The authors examined properties of FLoSS-based family rankings by using data from 3 ongoing studies: the New England Centenarian Study, the Framingham Heart Study, and screenees for the Long Life Family Study. FLoSS-based selection yields families with exceptional longevity, satisfactory sibship sizes and numbers of living siblings, and high ages. Parameters in the FLoSS formula can be tailored for studies of specific populations or age ranges or with different conditions. The first component of the FLoSS also provides a conceptually sound survival measure to characterize exceptional longevity in individuals or families in various types of studies and correlates well with later-observed longevity.
- 12 November 2009
- Published by Oxford University Press (OUP) in American Journal of Epidemiology
- Vol. 170 (12) , 1555-1562
Open AccessA Family Longevity Selection Score: Ranking Sibships by Their Longevity, Size, and Availability for Study
Family studies of exceptional longevity can potentially identify genetic and other factors contributing to long life and healthy aging. Although such studies seek families that are exceptionally long lived, they also need living members who can provide DNA and phenotype information. On the basis of these considerations, the authors developed a metric to rank families for selection into a family study of longevity. Their measure, the family longevity selection score (FLoSS), is the sum of 2 components: 1) an estimated family longevity score built from birth-, gender-, and nation-specific cohort survival probabilities and 2) a bonus for older living siblings. The authors examined properties of FLoSS-based family rankings by using data from 3 ongoing studies: the New England Centenarian Study, the Framingham Heart Study, and screenees for the Long Life Family Study. FLoSS-based selection yields families with exceptional longevity, satisfactory sibship sizes and numbers of living siblings, and high ages. Parameters in the FLoSS formula can be tailored for studies of specific populations or age ranges or with different conditions. The first component of the FLoSS also provides a conceptually sound survival measure to characterize exceptional longevity in individuals or families in various types of studies and correlates well with later-observed longevity.