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2013

Gaugler JE, Hovater M, Roth DL, Johnston JA, Kane RL, Sarsour K. Analysis of Cognitive, Functional, Health Service Use, and Cost Trajectories Prior to and Following Memory Loss. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2013;68(4):562-567. doi:10.1093/geronb/gbs078.
Brainerd CJ, Reyna VF, Petersen RC, et al. The apolipoprotein E genotype predicts longitudinal transitions to mild cognitive impairment but not to Alzheimer's dementia: findings from a nationally representative study. Neuropsychology. 2013;27(1):86-94. doi:10.1037/a0030855.
http://www.ncbi.nlm.nih.gov/pubmed/23356599?dopt=Abstract
Kelley A, Deb P, Du Q, Carlson MDAldridg, R Morrison S. THE CARE SPAN Hospice Enrollment Saves Money For Medicare And Improves Care Quality Across A Number Of Different Lengths-Of-Stay. Health Affairs. 2013;32(3):552-561. doi:10.1377/hlthaff.2012.0851.
Kuye I, Frank RG, McWilliams JM. Cognition and take-up of subsidized drug benefits by Medicare beneficiaries. JAMA Intern Med. 2013;173(12):1100-7. doi:10.1001/jamainternmed.2013.845.
http://www.ncbi.nlm.nih.gov/pubmed/23649604?dopt=Abstract
Rogers MAM, M. Greene T, Young VB, et al. Depression, antidepressant medications, and risk of Clostridium difficile infection. BMC Medicine. 2013;11:121. doi:10.1186/1741-7015-11-121.
Crimmins EM, Faul J, Kim JK, et al. Documentation of Biomarkers in the 2006 and 2008 Health and Retirement Study. Ann Arbor, Michigan: Institute for Social Research, University of Michigan; 2013.PDF icon Download PDF (364.89 KB)
Butrica BA, Karamcheva NS. Does Household Debt Influence the Labor Supply and Benefit Claiming Decisions of Older Americans?. Boston College; 2013.
Kapteyn A, Lee J, Zamarro G. Does Retirement Induced through Social Security Pension Eligibility Influence Subjective Well-being? A Cross-Country Comparison. Ann Arbor, MI, University of Michigan Retirement Research Center; 2013.
Capistrant BD, Gilsanz P, J Moon R, Kosheleva A, Patton KK, M. Glymour M. Does the association between depressive symptoms and cardiovascular mortality risk vary by race? Evidence from the Health and Retirement Study. Ethn Dis. 2013;23(2):155-60.
http://www.ncbi.nlm.nih.gov/pubmed/23530295?dopt=Abstract
M. Glymour M, Benjamin EJ, Kosheleva A, Gilsanz P, Curtis LH, Patton KK. Early life predictors of atrial fibrillation-related mortality: evidence from the health and retirement study. Health Place. 2013;21:133-9. doi:10.1016/j.healthplace.2012.12.008.
http://www.ncbi.nlm.nih.gov/pubmed/23454734?dopt=Abstract
Tanaka A. Essays on Labor Economics. 2013;3589854:167.
Knaup AE. Essays on migration and health insurance. 2013;3611929:180.
Kim H, Franks B, E. Higgins T. Evidence that Self-Regulatory Mode Affects Retirement Savings. Journal of Aging and Social Policy. 2013;25(3):248-263. doi:10.1080/08959420.2013.791788.
Callaghan BC, Burke JF, Rodgers A, et al. Expenditures in the elderly with peripheral neuropathy: Where should we focus cost-control efforts?. Neurology. Clinical Practice. 2013;3(5):421-430. doi:10.1212/CPJ.0b013e3182a78fb1.
Liu Y. Functional limitations and chronic conditions predict CES-D-8 depression scores. 2013;1542832:63.
Walter S, Mejía-Guevara I, Tchetgen Tchetgen EJ, et al. A Genetic IV Analysis to Assess the Effect of Body Mass Index on Depression in the Health And Retirement Study. Am J Epidemiol. 2013;177:S12.
Walter S, Mejía-Guevara I, Tchetgen Tchetgen EJ, et al. A Genetic IV Analysis to Assess the Effect of Body Mass Index on Depression in the Health And Retirement Study. Am J Epidemiol. 2013;177:S12.
Walter S, Mejía-Guevara I, Tchetgen Tchetgen EJ, et al. A Genetic IV Analysis to Assess the Effect of Body Mass Index on Depression in the Health And Retirement Study. Am J Epidemiol. 2013;177:S12.
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Franceschini N, Fox E, Zhang Z, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93(3):545-54. doi:10.1016/j.ajhg.2013.07.010.
http://www.ncbi.nlm.nih.gov/pubmed/23972371?dopt=Abstract
Burgard SA, Ailshire JA, Kalousova L. The Great Recession and Health: People, Populations, and Disparities. Annals of the American Academy of Political and Social Science. 2013;650(1):194.
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