HRS Bibliography

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Williams S. Statistically Speaking, This Is the Worst Age to Claim Social Security Benefits.
Hancock J, Khoshgoftaar TM, Landset S. Statistical Significance of Hyperparameter Tuning for Varying Levels of Class Imbalance. In: 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021. 26th ISSAT International Conference on Reliability and Quality in Design, RQD 2021. ; 2021.
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.
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.
Walsemann KM, Hair NL, Farina MP, Tyagi P, Jackson H, Ailshire JA. State-level desegregation in the U.S. South and mid-life cognitive function among Black and White adults. Social Science & Medicine (1983). Forthcoming;338:116319. doi:10.1016/j.socscimed.2023.116319.
Chen Y, Fang H. The State of Mental Health Among the Elderly Chinese. Cambridge, MA: National Bureau of Economic Research; 2020. doi:10.3386/w26690.
Yang Y, Lee A-R, Rapp T, Chen R, M Glymour M, Torres JM. State home and community-based services expenditures and unmet care needs in the United States: Has everyone benefitted equally?. health services research. Forthcoming. doi:10.1111/1475-6773.14269.
Farnham MP, Sevak P. State Fiscal Institutions and Empty-Nest Migration: Are Tiebout voters hobbled?. Journal of Public Economics. 2006;90(3):407 -427. doi:
Muramatsu N, Campbell RT. State expenditures on home and community based services and use of formal and informal personal assistance: a multilevel analysis. J Health Soc Behav. 2002;43(1):107-24. doi:10.2307/3090248.
McDade TW. The State and Future of Blood-Based Biomarkers in the Health and Retirement Study. Forum for Health Economics and Policy. 2011;14:1-5. doi:10.2202/1558-9544.1263.
University PState. Startling News: Chronic Health Conditions Are Far More Common in Recent Generations.
de la Torre-Luque A, de la Fuente J, Sánchez-Niubó A, et al. Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study. Acta Psychiatrica Scandinavica. 2019. doi:10.1111/acps.13107.
Kasper JD, Pezzin LE, J Rice B. Stability and changes in living arrangements: relationship to nursing home admission and timing of placement. J Gerontol B Psychol Sci Soc Sci. 2010;65(6):783-91. doi:10.1093/geronb/gbq023.
Ekerdt DJ, DeViney S, Kosloski K. Stability and Change in Plans for Retirement. University of Michigan; 1996.
Szinovacz ME, Davey A. Stability and change in financial transfers from adult children to older parents. Can J Aging. 2012;31(4):367-78. doi:10.1017/S0714980812000372.
Kim JH. SSI Participation Among the Elderly: A Hazard Model Approach. Journal of Poverty. 2013;17(2):217-233. doi:10.1080/10875549.2013.775994.
Davies PS. SSI Eligibility and Participation Among the Oldest Old: Evidence from the AHEAD. Social Security Bulletin. 2003;64(3).
Kim JH. SSI eligibility and participation among the aged: A hazard model approach. 2010;Doctor of Philosophy.
SSA Permissions Consent History: 1992-2012 (Public Version). Ann Arbor: Survey Research Center, University of Michigan; 2015:5.PDF icon Download PDF (62.86 KB)
Dorn S, Shang B. Spurring enrollment in Medicare savings programs through a substitute for the asset test focused on investment income. Health Aff (Millwood). 2012;31(2):367-75. doi:10.1377/hlthaff.2011.0443.
Iwashyna TJ, Netzer G, Langa KM, Cigolle CT. Spurious inferences about long-term outcomes: the case of severe sepsis and geriatric conditions. Am J Respir Crit Care Med. 2012;185(8):835-41. doi:10.1164/rccm.201109-1660OC.
Chen P, Botticello AL. Spouses of stroke survivors may be at risk for poor cognitive functioning: a cross-sectional population-based study. Top Stroke Rehabil. 2013;20(4):369-78. doi:10.1310/tsr2004-369.
Torres JM, Romero KRenata Flo, Kotwal AA, et al. Spouses of individuals living with mild cognitive impairment or dementia in the United States: A descriptive, population-based study. Alzheimers & dementia: the journal of the Alzheimer's Association. Forthcoming. doi:10.1002/alz.13555.