HRS Bibliography

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Lee AK, L Diaz-Ramirez G, W Boscardin J, Smith AK, Lee SJ. A comprehensive prognostic tool for older adults: Predicting death, ADL disability, and walking disability simultaneously. Journal of the American Geriatrics Society. Forthcoming. doi:10.1111/jgs.17932.
Wei MY, Luster JE, Chan C-L, Min LC. Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data. BMC Health Services Research. 2020;20. doi:10.1186/s12913-020-05207-4.
Love DA, Schmidt L. The Comprehensive Wealth of Immigrants and Natives. In: 17th Annual Joint Meeting of the Retirement Research Consortium. 17th Annual Joint Meeting of the Retirement Research Consortium. Washington, DC: NBER; 2015.
Bardenheier BH, Lin J, Zhuo X, et al. Compression of disability between two birth cohorts of US adults with diabetes, 1992-2012: a prospective longitudinal analysis. Lancet Diabetes Endocrinol. 2016;4(8):686-694. doi:10.1016/S2213-8587(16)30090-0.
http://www.ncbi.nlm.nih.gov/pubmed/27298181?dopt=Abstract
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.
Calhoun D, Lee SBok. Computer usage and cognitive capability of older adults: Analysis of data from the Health and Retirement Study. Educational Gerontology. 2019;45(1):22-23. doi:10.1080/03601277.2019.1575026.
Li K-K, Cardinal BJ, Acock AC. Concordance of Physical Activity Trajectories Among Middle-Aged and Older Married Couples: Impact of Diseases and Functional Difficulties. The Journals of Gerontology. 2013;68(5):794.
Wolinsky FD, Jones MP, Ullrich FA, Lou Y, Wehby GL. The Concordance of Survey Reports and Medicare Claims in a Nationally Representative Longitudinal Cohort of Older Adults. Medical Care. 2014;52(5):462-468. doi:10.1097/MLR.0000000000000120.
Ayanian JZ, Covinsky KE, Landon BE, McCarthy EP, Wee CC, Steinman MA. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources. Journal of General Internal Medicine. 2011;26(8):920-929. doi:10.1007/s11606-010-1621-5.
Lin I-F. Consequences of Divorce and Remarriage on Intergenerational Transfers. Bowling Green State University; 2004.
Lin I-F. Consequences of Parental Divorce for Adult Children's Support of their Frail Parents. Journal of Marriage and Family. 2008;70:113-128.
Divani AA, Majidi S, Barrett AM, Noorbaloochi S, Luft AR. Consequences of stroke in community-dwelling elderly: the health and retirement study, 1998 to 2008. Stroke. 2011;42(7):1821-5. doi:10.1161/STROKEAHA.110.607630.
http://www.ncbi.nlm.nih.gov/pubmed/21597018?dopt=Abstract
Wan X, Lighthall NR, Xie R. Consistent and robust predictors of Internet Use among older adults over time identified by machine learning. Computers in Human Behavior. 2022;137:107413. doi:https://doi.org/10.1016/j.chb.2022.107413.
Lee YSoo, Putnam M, Morrow-Howell N, Inoue M, Greenfield JC, Chen H. Consolidated measures of activity among older adults: results of a three data set comparison. Journal of Gerontological Social Work. 2019. doi:10.1080/01634372.2019.1582123.
http://www.ncbi.nlm.nih.gov/pubmed/30786817?dopt=Abstract
Lohman MC, Mezuk B. Construct overlap between depression and frailty in later life: evidence from the health and retirement study. Comprehensive Psychiatry. 2013;54(1):e6.
Park SS, Pratt B, Pebley AR, et al. Constructing a Work History Dataset of Jobs Held During Early and Middle Adulthood Using the Health and Retirement Study. Los Angeles, CA: UCLA: California Center for Population Research ; 2022.
McGarry BE, Tempkin-Greener H, Grabowski DC, Chapman BP, Li Y. Consumer decision-making abilities and long-term care insurance purchase. Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2017. doi:10.1093/geronb/gbx059.
http://www.ncbi.nlm.nih.gov/pubmed/28541583?dopt=Abstract
Laitner J, Silverman DS. Consumption, Retirement, and Social Security: Evaluating the Efficiency of Reform with a Life-Cycle Model. The University of Michigan, Michigan Retirement Research Center; 2006.
Levine ME, Crimmins EM, Weir DR, Cole SW. Contemporaneous Social Environment and the Architecture of Late-Life Gene Expression Profiles. American Journal of Epidemiology. 2017;186(5):503-509. doi:10.1093/aje/kwx147.
http://www.ncbi.nlm.nih.gov/pubmed/28911009?dopt=Abstract
Wolinsky FD, Bentler SE, Liu L, et al. Continuity of care with a primary care physician and mortality in older adults. J Gerontol A Biol Sci Med Sci. 2010;65(4):421-8. doi:10.1093/gerona/glp188.
http://www.ncbi.nlm.nih.gov/pubmed/19995831?dopt=Abstract
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.
Nead KT, Li A, Wehner MR, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015;24(12):3582-3594. doi:10.1093/hmg/ddv097.