HRS Bibliography

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Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Stump TE, Clark DO, Johnson RJ, Wolinsky FD. The Structure of Health Status among Hispanic, African American, and White Older Adults. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. 1997;52B(Spec):49-60.
McCluney CL, Schmitz LL, Hicken MT, Sonnega A. Structural racism in the workplace: Does perception matter for health inequalities?. Social Science & Medicine. 2018;199:106-114. doi:10.1016/j.socscimed.2017.05.039.
McCluney CL, Schmitz LL, Hicken MT, Sonnega A. Structural racism in the workplace: Does perception matter for health inequalities?. Social Science & Medicine. 2018;199:106-114. doi:10.1016/j.socscimed.2017.05.039.
J Moon R, Capistrant BD, Kawachi I, et al. Stroke incidence in older US Hispanics: is foreign birth protective?. Stroke. 2012;43(5):1224-9. doi:10.1161/STROKEAHA.111.643700.
http://www.ncbi.nlm.nih.gov/pubmed/22357712?dopt=Abstract
Willis M, Staudinger UM, Factor-Litvak P, Calvo E. Stress and salivary telomere length in the second half of life: A comparison of life-course models. Advances in Life Course Research. 2019;39:34-41. doi:10.1016/j.alcr.2019.02.001.
House CL, Mocanu AMaria, Shapiro MD. Stimulus Effects of Investment Tax Incentives: Production versus Purchases. Cambridge, MA: National Bureau of Economic Research; 2017. doi:10.3386/w23391.
Bond T, Saad-Lessler J, Weller C. Still shortchanged: An update on women's retirement preparedness. Washington, D.C.: National Institute on Retirement Security ; 2020.
Yahirun JJ, Park SS, Seltzer JA. Step-grandparenthood in the United States. Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2018;73(6). doi:10.1093/geronb/gbx164.
http://www.ncbi.nlm.nih.gov/pubmed/29361076?dopt=Abstract
Lin I-F, Seltzer JA. Stepfamily variation in parent–child relationship quality in later life. Journal of Marriage and Family. Forthcoming. doi:https://doi.org/10.1111/jomf.12946.
Lin I-F, Seltzer JA. Stepfamily variation in parent-child relationship quality in later life. JOURNAL OF MARRIAGE AND FAMILY. 2023. doi:10.1111/jomf.12946.
Steinke A. Staying mentally fit by helping others. The Herald-Palladium. http://www.heraldpalladium.com/features/staying-mentally-fit-by-helping-others/article_2d4bd273-41af-5327-8008-879c1a4d91f2.html. Published 2017.
Ding Y, Li Y, Song R. Statistical Learning for Individualized Asset Allocation. Journal of the American Statistical Association. Forthcoming. doi:10.1080/01621459.2022.2139265.
O'Muircheartaigh C, Eckman S, Smith S. Statistical design and estimation for the national social life, health, and aging project. J Gerontol B Psychol Sci Soc Sci. 2009;64 Suppl 1(Suppl 1):i12-9. doi:10.1093/geronb/gbp045.
http://www.ncbi.nlm.nih.gov/pubmed/19567827?dopt=Abstract
Mardon R, Campione J, Nooney J, et al. State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states. Population Health Metrics. 2022;20(1):22. doi:10.1186/s12963-022-00298-z.
Mardon R, Campione J, Nooney J, et al. State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states. Population Health Metrics. 2022;20(1):22. doi:10.1186/s12963-022-00298-z.
Marker DA, Mardon R, Jenkins F, et al. State-level estimation of diabetes and prediabetes prevalence: Combining national and local survey data and clinical data. Statistics in Medicine. 2018;37(27):3975-3990. doi:10.1002/sim.7848.