HRS Bibliography

Bibliography Search
Export 1131 results:
Filters: First Letter Of Last Name is A  [Clear All Filters]

S

Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Davies G, Lam M, Harris SE, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. 2018;9(1):2098. doi:10.1038/s41467-018-04362-x.
Stephan Y, Sutin AR, Luchetti M, Aschwanden D, Terracciano A. Subjective age and multiple cognitive domains in two longitudinal samples. Journal of Psychosomatic Research. 2021;150:110616. doi:10.1016/j.jpsychores.2021.110616.
Stephan Y, Sutin AR, Luchetti M, Aschwanden D, Terracciano A. Subjective Age and Verbal Fluency among Middle Aged and Older Adults: A Meta-Analysis of Five Cohorts. Archives of Gerontology and Geriatrics. 2021;97:104527. doi:10.1016/j.archger.2021.104527.
Aschwanden D, Sutin AR, Ledermann T, et al. Subjective Cognitive Decline: Is a Resilient Personality Protective Against Progression to Objective Cognitive Impairment? Findings from Two Community-Based Cohort Studies. Journal of Alzheimer's Disease. 2022;89(1):87-105. doi:10.3233/JAD-220319.
Scherbov S, Arpino B, Bordone V. Subjective Life Expectancy: Differences by Smoking, Education and Gender. In: European Population Conference 2016. European Population Conference 2016. ; 2016.
Chen B, Covinsky KE, Cenzer I, Adler NE, Williams BA. Subjective social status and functional decline in older adults. J Gen Intern Med. 2012;27(6):693-9. doi:10.1007/s11606-011-1963-7.
http://www.ncbi.nlm.nih.gov/pubmed/22215272?dopt=Abstract
Kim SYH, Kim HM, Langa KM, Karlawish JH, Knopman DS, Appelbaum PS. Surrogate consent for dementia research: a national survey of older Americans. Neurology. 2009;72(2):149-55. doi:10.1212/01.wnl.0000339039.18931.a2.
http://www.ncbi.nlm.nih.gov/pubmed/19139366?dopt=Abstract
Meisel K, Arnold RM, Cenzer I, W Boscardin J. Survival, functional status, and eating ability after percutaneous endoscopic gastrostomy tube placement for acute stroke. Journal of the American Geriatrics Society. 2017;65(8):1848-1852. doi:10.1111/jgs.14908.
http://www.ncbi.nlm.nih.gov/pubmed/28449220?dopt=Abstract
Carter JD, Assari S. Sustained Obesity and Depressive Symptoms over 6 Years: Race by Gender Differences in the Health and Retirement Study. Front Aging Neurosci. 2016;8:312. doi:10.3389/fnagi.2016.00312.
http://www.ncbi.nlm.nih.gov/pubmed/28101050?dopt=Abstract
Gardner RC, Bahorik A, Kornblith ES, Allen IElaine, Plassman BL, Yaffe K. Systematic Review, Meta-Analysis, and Population Attributable Risk of Dementia Associated with Traumatic Brain Injury in Civilians and Veterans. Journal of Neurotrauma. Forthcoming. doi:10.1089/neu.2022.0041.

T

Alpert A, Powell D. Tax Elasticity of Labor Earnings for Older Individuals. Ann Arbor, MI: Retirement and Disability Research Consortium, University of Michigan; 2012.
Ahituv A, Zeira J. Technical Progress and Early Retirement*. The Economic JournalThe Economic Journal. 2011;121(551):171 - 193. doi:10.1111/j.1468-0297.2010.02392.x.
Ahituv A, Zeira J. Technical progress and early retirement. Hebrew University of Jerusalem; 2001.
Brown LL, Needham BL, Ailshire JA. Telomere Length Among Older U.S. Adults: Differences by Race/Ethnicity, Gender, and Age. J Aging Health. 2017;29(8):1350-1366. doi:10.1177/0898264316661390.
http://www.ncbi.nlm.nih.gov/pubmed/27469599?dopt=Abstract
Akesaka M, Eibich P, Hanaoka C, Shigeoka H. TEMPORAL INSTABILITY OF RISK PREFERENCE AMONG THE POOR: EVIDENCE FROM PAYDAY CYCLES. Cambridge, MA: National Bureau of Economic Research; 2021. doi:10.3386/w28784.
M. Islam A. Tests for Dependence in Binary Repeated Measures Data. Chowdhury RI, Alzaid A, eds. Journal of Statistical Research. 2012;46(2):203-217.PDF icon Tests for Dependence in Binary Repeated Measures Data.pdf (286 KB)