HRS Bibliography

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Agree EM, Wolf DA. Disability Measurement in the Health and Retirement Study. 2016.PDF icon Download PDF (231.49 KB)
Bardenheier BH, Lin J, Zhuo X, et al. Disability-Free Life-Years Lost Among Adults Aged ≥50 Years, With and Without Diabetes. Diabetes Care. 2015. doi:10.2337/dc15-1095.
Abowd JM, Schmutte IM, Vilhuber L. Disclosure Limitation and Confidentiality Protection in Linked Data. In: Chun AYoung, Larsen MD, Durrant G, Reiter JP, eds. Administrative Records for Survey Methodology. Administrative Records for Survey Methodology. John Wiley & Sons, Ltd; 2021:25-59. doi:https://doi.org/10.1002/9781119272076.ch2.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
C Y Ng M, Graff M, Lu Y, et al. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium. PLoS Genetics. 2017;13(4):e1006719. doi:10.1371/journal.pgen.1006719.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Graff M, Justice AE, Young KL, et al. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry. The American Journal of Human Genetics. 2021;108(4):564-582. doi:10.1016/j.ajhg.2021.02.011.
Nguyen TT, Vable AM, M. Glymour M, Allen AM. Discrimination in health care and biomarkers of cardiometabolic risk in U.S. adults. SSM - Population Health. 2019;7:100306. doi:10.1016/j.ssmph.2018.10.006.
Brown LL, Mitchell UA, Ailshire JA. Disentangling the Stress Process: Race/Ethnic Differences in the Exposure and Appraisal of Chronic Stressors among Older Adults. Journals of Gerontology Series B: Psychological Sciences & Social Sciences. 2020. doi:10.1093/geronb/gby072.
http://www.ncbi.nlm.nih.gov/pubmed/29878196?dopt=Abstract
Advisory ATI. Disparities in LTSS Needs and Supportive Resources at Age 55, and Outcome Disparities During the Next Decade. ATI Advisory; 2023.
Arapakis K, French E, Jones JBailey, McCauley J. On the Distribution and Dynamics of Medical Expenditure among the Elderly. In: Retirement and Disability Research Consortium 23rd Annual Meeting. Retirement and Disability Research Consortium 23rd Annual Meeting. Virtual Event: Center for Financial Security, University of Wisconsin-Madison; 2021.
Kingson ER, Arsenault Y. The Diversity of Risk Among Age-62 Retired Worker Beneficiaries. Boston: Center for Retirement Research at Boston College; 2000.
Bordone V, Arpino B. Do Grandchildren Influence How Old You Feel?. Journal of Aging and Health. 2015. doi:10.1177/0898264315618920.
Bosworth B, Burtless GT, Alalouf M. Do Retired Americans Annuitize Too Little? Trends in the Share of Annuitized Income. Chestnut Hill, MA: Center for Retirement Research at Boston College; 2015:1-49.
Taylor, Jr. DH, Ostermann J, S. Acuff W, Ostbye T. Do Seniors Understand Their Risk of Moving to a Nursing Home?. Health Services Research. 2005;40(3):811.
Eastman MR, Ospina-Romero M, Westrick AC, et al. Does a Cancer Diagnosis in Mid-to-Later Life Modify Racial Disparities in Memory Aging?. Alzheimer Disease & Associated Disorders. 2022;36(2):140-147. doi:10.1097/WAD.0000000000000493.