Administrative and Research Support Core A (AC) will ensure general research cohesion and direction of the Center for Population Health and Aging through the work of its Director, Co-directors, Administrative Director, and Executive Committee. Goals of the Core include fostering greater communication and collaboration among center affiliates and promoting collaboration with the broader scientific community engaged in research on aging. A major strength of this center is manifest in the high impact and innovative data collection projects that have been developed by investigators and, today, are extremely well-suited to address key questions in aging. The Core will provide general administrative services and technical and research resources, in conjunction with the staff of the Social Science Research Institute. Core A support is designed to give the Center for Population Health and Aging the range and depth of administrative and research resources it needs to initiate and foster innovative research with a major focus on biodemography of aging, mathematical and statistical demography of aging. To this end, the Core will provide research support services designed to facilitate such collaborations. In addition to administrative research support, an experienced statistical and database programmer will assist teams of investigators to undertake studies that draw comparisons across these - and other aging ~ data sources to assess the generalizability of evidence and more fully integrate findings across studies with underlying theories of behavior and change.
The Center of Population Health and Aging will advance understanding of the determinants of healthy aging and longevity by developing new research areas, by supporting and enlarging the world's community of demographic scientists, and by developing new mathematical and statistical methods for the analysis of data related to the biodemography of aging as well as data management services. This understanding is critical to the development of policy and programs that promote healthy aging.
|Yashin, Anatoliy I; Arbeev, Konstantin G; Arbeeva, Liubov S et al. (2016) How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity. Biogerontology 17:89-107|
|Yashin, Anatoliy I; Zhbannikov, Ilya; Arbeeva, Liubov et al. (2016) Pure and Confounded Effects of Causal SNPs on Longevity: Insights for Proper Interpretation of Research Findings in GWAS of Populations with Different Genetic Structures. Front Genet 7:188|
|Yashin, Anatoliy I; Arbeev, Konstantin G; Wu, Deqing et al. (2016) How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data. N Am Actuar J 20:201-232|
|Arbeev, Konstantin G; Ukraintseva, Svetlana V; Yashin, Anatoliy I (2016) Dynamics of biomarkers in relation to aging and mortality. Mech Ageing Dev 156:42-54|
|Schoeni, Robert F; Bianchi, Suzanne M; Hotz, V Joseph et al. (2015) Intergenerational transfers and rosters of the extended family: a new substudy of the Panel Study of Income Dynamics. Longit Life Course Stud 6:319-330|
|Vestergaard, Sonja; Thinggaard, Mikael; Jeune, Bernard et al. (2015) Physical and mental decline and yet rather happy? A study of Danes aged 45 and older. Aging Ment Health 19:400-8|
|Lea, Amanda J; Altmann, Jeanne; Alberts, Susan C et al. (2015) Developmental constraints in a wild primate. Am Nat 185:809-21|
|Yashin, Anatoliy I; Wu, Deqing; Arbeeva, Liubov S et al. (2015) Genetics of aging, health, and survival: dynamic regulation of human longevity related traits. Front Genet 6:122|
|Arbeev, Konstantin G; Akushevich, Igor; Kulminski, Alexander M et al. (2014) Joint Analyses of Longitudinal and Time-to-Event Data in Research on Aging: Implications for Predicting Health and Survival. Front Public Health 2:228|
|Lea, Amanda J; Learn, Niki H; Theus, Marcus J et al. (2014) Complex sources of variance in female dominance rank in a nepotistic society. Anim Behav 94:87-99|
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