HRS Bibliography

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Book Chapter

Crimmins EM, Vasunilashorn S. Links Between Biomarkers and Mortality. In: Rogers RG, Crimmins EM, eds. International Handbook of Adult Mortality. Vol. 2. International Handbook of Adult Mortality. Springer; 2011:381-398. doi:10.1007/978-90-481-9996-9_18.
Crimmins EM, Vasunilashorn S. Links Between Biomarkers and Mortality. In: Rogers RG, Crimmins EM, eds. International Handbook of Adult Mortality. Vol. 2. International Handbook of Adult Mortality. Springer; 2011:381-398. doi:10.1007/978-90-481-9996-9_18.
Laditka SB, Laditka JN, Jagger C. Microsimulation of Health Expectancies, Life Course Health, and Health Policy Outcomes. In: Jagger C, Crimmins EM, Saito Y, Yokota RTiene De C, Van Oyen H, Robine J-M, eds. International Handbooks of Population: International Handbook of Health Expectancies. Vol. 9. International Handbooks of Population: International Handbook of Health Expectancies. Basel: Springer International Publishing; 2020:129–138. doi:10.1007/978-3-030-37668-0_9.

Journal Article

Thyagarajan B, Faul J, Vivek S, et al. Age-related differences in T cell subsets in a nationally representative sample of people over age 55: Findings from the Health and Retirement Study. The Journals of Gerontology, Series A . 2022;77(5):927-933. doi:10.1093/gerona/glab300.
Vivek S, Thyagarajan B, Nelson HHammond, Prizment A, Crimmins EM, Faul J. COMBINED EFFECT OF CMV SEROPOSITIVITY AND SYSTEMIC INFLAMMATION ON DEMENTIA PREVALENCE IN CANCER SURVIVORS. Innovation in Aging. 2019;3:S461-S461. doi:10.1093/geroni/igz038.1724.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Vivek S, Nelson HHammond, Prizment A, Faul J, Crimmins EM, Thyagarajan B. Cross sectional association between cytomegalovirus seropositivity, inflammation and cognitive impairment in elderly cancer survivors. Cancer Causes & Control. 2022;33(1):81-90. doi:https://doi.org/10.1007/s10552-021-01504-3.
Oksuzyan A, Crimmins EM, Saito Y, O'Rand AM, Vaupel JW, Christensen K. Cross-national comparison of sex differences in health and mortality in Denmark, Japan and the US. Eur J Epidemiol. 2010;25(7):471-80. doi:10.1007/s10654-010-9460-6.
http://www.ncbi.nlm.nih.gov/pubmed/20495953?dopt=Abstract
Thyagarajan B, Barcelo H, Crimmins EM, et al. Effect of delayed cell processing and cryopreservation on immunophenotyping in multicenter population studies. Journal of Immunological Methods. 2018;463:61-70. doi:10.1016/j.jim.2018.09.007.
Ramasubramanian R, Meier HCS, Vivek S, et al. Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study. Immunity & Ageing. 2022;19(1):33. doi:10.1186/s12979-022-00290-z.
Villa O, Stuhr NL, Yen C-A, Crimmins EM, Arpawong TEm, Curran SP. Genetic variation in ALDH4A1 is associated with muscle health over the lifespan and across species. Elife. 2022;11:e74308. doi:10.7554/eLife.74308.
Villa O, Stuhr NL, Yen C-A, Crimmins EM, Arpawong TE, Curran SP. Genetic variation in ALDH4A1 predicts muscle health over the lifespan and across species. Elife. 2022;11(e74308). doi:10.7554/eLife.74308.
Thyagarajan B, Shippee N, Parsons H, et al. How Does Subjective Age Get “Under the Skin”? The Association Between Biomarkers and Feeling Older or Younger Than One’s Age: The Health and Retirement Study. Innovation in Aging. 2019;3(4):igz035. doi:10.1093/geroni/igz035.