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2013

Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Rietveld CA, Medland SE, Derringer J, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science. 2013;340(6139):1467-71. doi:10.1126/science.1235488.
http://www.ncbi.nlm.nih.gov/pubmed/23722424?dopt=Abstract
Kennison RF, Cox J. Health and Functional Limitations Predict Depression Scores in the Health and Retirement Study: Results Straight from MARS. Californian Journal of Health Promotion. 2013;11(1):97-108.
Wickrama K, Mancini JA, Kwag K, Kwon J. Heterogeneity in multidimensional health trajectories of late old years and socioeconomic stratification: a latent trajectory class analysis. J Gerontol B Psychol Sci Soc Sci. 2013;68(2):290-7. doi:10.1093/geronb/gbs111.
http://www.ncbi.nlm.nih.gov/pubmed/23197341?dopt=Abstract
Wickrama K, Mancini JA, Kwag K, Kwon J. Heterogeneity in multidimensional health trajectories of late old years and socioeconomic stratification: a latent trajectory class analysis. J Gerontol B Psychol Sci Soc Sci. 2013;68(2):290-7. doi:10.1093/geronb/gbs111.
http://www.ncbi.nlm.nih.gov/pubmed/23197341?dopt=Abstract
Kelley A, Deb P, Du Q, Carlson MDAldridg, R Morrison S. Hospice Enrollment Saves Money For Medicare And Improves Care Quality Across A Number Of Different Lengths-Of-Stay. Health Affairs. 2013;32(3):552-61.
Wu AYanyuan, Karamcheva NS, Munnell AH, Purcell PJ. How Do the Changing Labor Supply Behavior and Marriage Patterns of Women Affect Social Security Replacement Rates?. Chestnut Hill, MA, Center for Retirement Research at Boston College; 2013.
Wu AYanyuan, Karamcheva NS, Munnell AH, Purcell PJ. How do trends in women's labor force activity and marriage patterns affect social security replacement rates?. Social Security Bulletin. 2013;73(4):1-24.
Coe NB, Khan MR, Rutledge MS. How Important Is Medicare Eligibility in the Timing of Retirement?. Boston, Center for Retirement Research at Boston College; 2013.
Carr DC, Kail BLennox. The influence of unpaid work on the transition out of full-time paid work. Gerontologist. 2013;53(1):92-101. doi:10.1093/geront/gns080.
http://www.ncbi.nlm.nih.gov/pubmed/22859436?dopt=Abstract
Kaufmann CN, Canham SL, Mojtabai R, et al. Insomnia and Health Services Utilization in Middle-Aged and Older Adults: Results From the Health and Retirement Study. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2013. doi:10.1093/gerona/glt050.
Kaufmann CN, Canham SL, Mojtabai R, et al. Insomnia and Health Services Utilization in Middle-Aged and Older Adults: Results From the Health and Retirement Study. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2013. doi:10.1093/gerona/glt050.
Kalil A, DeLeire T. Involuntary Job Transitions and Subjective Well-Being. In: Couch KA, Daly MC, Zissimopoulos JM, eds. Lifecycle Events and Their Consequences: Job Loss, Family Change, and Declines in Health. Lifecycle Events and Their Consequences: Job Loss, Family Change, and Declines in Health. Stanford, CA: Stanford University Press; 2013:76-96.
Kail BLennox, Warner DF. Leaving Retirement: Age-Graded Relative Risks of Transitioning Back to Work or Dying. Population Research and Policy Review. 2013;32(2):159-182. doi:http://dx.doi.org/10.1007/s11113-012-9256-3.
Wiener JM, Anderson WL, Khatutsky G, Kaganova Y, O'Keeffe J. Medicaid Spend Down: Implications for Long-Term Services and Supports and Aging Policy. Long Beach, CA, The SCAN Foundation; 2013.
Wiener JM, Anderson WL, Khatutsky G, Kaganova Y, O'Keeffe J. Medicaid Spend Down: Implications for Long-Term Services and Supports and Aging Policy. Long Beach, CA, The SCAN Foundation; 2013.
Kelley A, McGarry K, Fahle S, Marshall SM, Du Q, Skinner JS. Out-of-pocket spending in the last five years of life. J Gen Intern Med. 2013;28(2):304-9. doi:10.1007/s11606-012-2199-x.
http://www.ncbi.nlm.nih.gov/pubmed/22948931?dopt=Abstract
Kim ES, Park N, Peterson C. Perceived neighborhood social cohesion and stroke. Social Science and Medicine. 2013;97:49-55. doi:10.1016/j.socscimed.2013.08.001.