HRS Bibliography

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U

Marden JR, Mayeda ER, Walter S, et al. Using an Alzheimer Disease Polygenic Risk Score to Predict Memory Decline in Black and White Americans Over 14 Years of Follow-up. Alzheimer Dis Assoc Disord. 2016;30(3):195-202. doi:10.1097/WAD.0000000000000137.
http://www.ncbi.nlm.nih.gov/pubmed/26756387?dopt=Abstract
Wei Y, Heun-Johnson H, Tysinger B. Using dynamic microsimulation to project cognitive function in the elderly population. PLoS One. 2022;17(9):e0274417. doi:10.1371/journal.pone.0274417.
Jain S, Rosenbaum PR, Reiter JG, et al. Using Medicare claims in identifying Alzheimer's disease and related dementias. Alzheimer's & Dementia. Forthcoming. doi:10.1002/alz.12199.
DeLiema M. Using mixed methods to identify the characteristics of older fraud victims. 2015;3704229:132.
Chao Y-S, Wu C-J, Wu H-C, et al. Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes. Scientific Reports. 2020;10. doi:10.1038/s41598-020-60869-8.
Chao Y-S, Wu C-J, Wu H-C, et al. Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes. Scientific Reports. 2020;10. doi:10.1038/s41598-020-60869-8.
Poterba JM, Rauh J, Venti SF, Wise DA. Utility Evaluation of Risk in Retirement Saving Accounts. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005. doi:10.3386/w9892.
Poterba JM, Rauh J, Venti SF, Wise DA. Utility Evaluation of Risk in Retirement Saving Accounts. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005. doi:10.3386/w9892.

V

Sakshaug JW, Weir DR, Nicholas LHersch. Validating Diabetes Disease Status in Claims and Survey Data. Proceedings of the 2010 International Methodology Symposium: The Interplay among Censuses, Surveys and Administrative Data. Ottawa; 2010.
Weir DR. Validating Mortality Ascertainment in the Health and Retirement Study. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2016.PDF icon Download PDF (669.74 KB)
Marden JR, Walter S, Tchetgen Tchetgen EJ, Kawachi I, M. Glymour M. Validation of a polygenic risk score for dementia in black and white individuals. Brain Behav. 2014;4(5):687-97. doi:10.1002/brb3.248.
http://www.ncbi.nlm.nih.gov/pubmed/25328845?dopt=Abstract
Crimmins EM, Kim JK, McCreath H, Faul J, Weir DR, Seeman T. Validation of blood-based assays using dried blood spots for use in large population studies. Biodemography Soc Biol. 2014;60(1):38-48. doi:10.1080/19485565.2014.901885.
http://www.ncbi.nlm.nih.gov/pubmed/24784986?dopt=Abstract
Mullins MA, Kabeto M, Wallner LP, Kobayashi LC. Validation of Self-Reported Cancer Diagnoses by Respondent Cognitive Status in the U.S. Health and Retirement Study. The Journals of Gerontology. Series A . Forthcoming. doi:10.1093/gerona/glac248.
Mullins M, Kler JS, Eastman MR, Kabeto MU, Wallner LP, Kobayashi LC. Validation of self-reported cancer diagnoses using Medicare diagnostic claims in the U.S. Health and Retirement Study, 2000-2016. Cancer Epidemiology, Biomarkers & Prevention. 2022;31(1):287-292. doi:10.1158/1055-9965.EPI-21-0835.
http://www.ncbi.nlm.nih.gov/pubmed/34737206?dopt=Abstract
Mullins M, Kler JS, Eastman M, Kabeto MU, Wallner LP, Kobayashi LC. Validation of self-reported incident cancer diagnoses in the U.S. Health and Retirement Study: A tool for population-based cancer and aging research. Journal of Clinical Oncology. 2021;39(28_suppl):312. doi:10.1200/JCO.2020.39.28_suppl.312.
Wilson S. The validation of the Texas revised inventory of grief on an older Latino sample. J Soc Work End Life Palliat Care. 2006;2(4):33-60. doi:10.1300/j457v02n04_03.
Warren JRobert, Lee M, Osypuk TL. The Validity and Reliability of Retrospective Measures of Childhood Socioeconomic Status in the Health and Retirement Study: Evidence from the 1940 U.S. Census. The Journals of Gerontology, Series B . 2022;77(9):1661-1673. doi:10.1093/geronb/gbac045.
M. Lawton P, Moss M, Hoffman C, Kleban MH, Ruckdeschel K, Winter L. Valuation of life: a concept and a scale. J Aging Health. 2001;13(1):3-31. doi:10.1177/089826430101300101.
http://www.ncbi.nlm.nih.gov/pubmed/11503845?dopt=Abstract
Skirbekk V, Loichinger E, Weber D. Variation in cognitive functioning as a refined approach to comparing aging across countries. Proc Natl Acad Sci U S A. 2012;109(3):770-4. doi:10.1073/pnas.1112173109.
http://www.ncbi.nlm.nih.gov/pubmed/22184241?dopt=Abstract
Deshpande SK, Bai R, Balocchi C, Starling JE, Weiss J. VC-BART: Bayesian trees for varying coefficients. Ithaca, NY: Cornell University; 2020.
Crimmins EM, Faul J, Thyagarajan B, Weir DR. Venous Blood Collection and Assay Protocol in the 2016 Health and Retirement Study. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (1.78 MB)
Brown MT, Wilmoth JM, London AS. Veteran Status and Men s Later-Life Cognitive Trajectories: Evidence from the Health and Retirement Study. Journal of Aging and Health. 2014. doi:10.1177/0898264314534893.
Kim ES, Whillans AV, Lee M, Chen Y, VanderWeele TJ. Volunteering and Subsequent Health and Well-Being in Older Adults: An Outcome-Wide Longitudinal Approach. American Journal of Preventive Medicine. 2020;59(2):176-186.

W

Smith JP, Willis RJ. Wealth, Work, and Health: Innovations in Measurement in the Social Sciences: Essays in honor of F. Thomas Juster. Ann Arbor, MI: University of Michigan Press; 1999.
Forman-Hoffman VL, Yankey JW, Hillis SL, Wallace RB. Weight and depressive symptoms in older adults: direction of influence?. J Gerontol B Psychol Sci Soc Sci. 2007;62(1):S43-51. doi:10.1093/geronb/62.1.s43.
http://www.ncbi.nlm.nih.gov/pubmed/17284566?dopt=Abstract