HRS Bibliography

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Wolinsky FD, Bentler SE, Liu L, et al. Prior hospitalization and the risk of heart attack in older adults: a 12-year prospective study of Medicare beneficiaries. J Gerontol A Biol Sci Med Sci. 2010;65(7):769-77. doi:10.1093/gerona/glq003.
http://www.ncbi.nlm.nih.gov/pubmed/20106961?dopt=Abstract
Kim N. Is private long-term care insurance affordable for older adults?. Economics. 2010;Doctor of Philosophy.
Kutty NK. The Production of Functionality by the Elderly: A Household Production Function Approach. Applied Economics. 2000;32(10):1269-80. doi:10.1080/000368400404425.
Carr DC, Kail BL, Taylor M. Productive Aging Lifestyles: A Latent Class Analysis of Work and Volunteer Patterns over the Retirement Transition. Research on Aging. 2023. doi:10.1177/01640275221103793.
Ekerdt DJ, DeViney S, Kosloski K. Profiling Plans for Retirement. The Journals of Gerontology: Series B. 1996;51B(3). doi:10.1093/geronb/51B.3.S140.
Prescott CA, Achorn DLyter, Kaiser A, Mitchell L, McArdle JJ, Lapham SJ. The Project TALENT Twin and Sibling Study. Twin Research and Human Genetics. 2013;16(1):437-448. doi:10.1017/thg.2012.71.
http://www.ncbi.nlm.nih.gov/pubmed/23101474?dopt=Abstract
Barnes JC, Liu H, Motz RT, et al. The propensity for aggressive behavior and lifetime incarceration risk: A test for gene-environment interaction (G × E) using whole-genome data. Aggression and Violent Behavior. 2019;49. doi:10.1016/j.avb.2019.07.002.
Kezios KL, Zimmerman SC, Zhang A, et al. Propensity Scores in Health Disparities Research: The Example of Cognitive Aging and the Hispanic Paradox. Epidemiology. 2023;34(4):495-504. doi:10.1097/EDE.0000000000001620.
Lee MJae, Kobayashi S. Proportional treatment effects for count response panel data: effects of binary exercise on health care demand. Health Econ. 2001;10(5):411-28. doi:10.1002/hec.626.
http://www.ncbi.nlm.nih.gov/pubmed/11466803?dopt=Abstract
Wolinsky FD, Bentler SE, Hockenberry J, et al. A prospective cohort study of long-term cognitive changes in older Medicare beneficiaries. BMC Public Health. 2011;11:710. doi:10.1186/1471-2458-11-710.
http://www.ncbi.nlm.nih.gov/pubmed/21933430?dopt=Abstract
Kelley A, Bollens-Lund E, Covinsky KE, Skinner JS, R Morrison S. Prospective identification of patients at risk for unwarranted variation in treatment. Journal of Palliative Medicine. 2018;21(1):44-54. doi:10.1089/jpm.2017.0063.
http://www.ncbi.nlm.nih.gov/pubmed/28772096?dopt=Abstract
Fang C, Kapinos K. Prospective Social Security Wealth Measures of Pre-Retirees Wave 10. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2016.PDF icon Download PDF (293.22 KB)
Kim ES, Smith J, Kubzansky LD. Prospective study of the association between dispositional optimism and incident heart failure. Circ Heart Fail. 2014;7(3):394-400. doi:10.1161/CIRCHEARTFAILURE.113.000644.
http://www.ncbi.nlm.nih.gov/pubmed/24647117?dopt=Abstract
Kim ES, Smith J, Kubzansky LD. Prospective study of the association between dispositional optimism and incident heart failure. Circ Heart Fail. 2014;7(3):394-400. doi:10.1161/CIRCHEARTFAILURE.113.000644.
http://www.ncbi.nlm.nih.gov/pubmed/24647117?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.