HRS Bibliography

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2014

Alwin DF, Zeiser K, Gensimore D. Reliability of Self-reports of Financial Data in Surveys: Results From the Health and Retirement Study. Sociological Methods and Research. 2014;43(1):98-136.
Shaw BA, McGeever K, Vasquez E, Agahi N, Fors S. Socioeconomic inequalities in health after age 50: Are health risk behaviors to blame?. Social Science and Medicine. 2014;101:52-60. doi:10.1016/j.socscimed.2013.10.040.
Arora K, Wolf DA. Is There a Trade-off Between Parent Care and Self-care?. Demography. 2014;51(4):1251-70. doi:10.1007/s13524-014-0309-6.
Arons R. Three Essays in Health, Education, and Retirement. 2014;3644859:132.
Hung KJ, Awtrey CS, Tsai AC. Urinary Incontinence, Depression, and Economic Outcomes in a Cohort of Women Between the Ages of 54 and 65 Years. Obstetrics and Gynecology. 2014;123(4):822-827. doi:10.1097/AOG.0000000000000186.
Liu C-J, Stump TE, Ambuehl R, Clark DO. Utilization of occupational and physical therapy services in postacute care: Findings from the 2006 health and retirement study and linked medicare claims data. Physical and Occupational Therapy in Geriatrics. 2014;32(1):85-96.
Assari S. Veterans and risk of heart disease in the United States: a cohort with 20 years of follow up. Int J Prev Med. 2014;5(6):703-9.
http://www.ncbi.nlm.nih.gov/pubmed/25013689?dopt=Abstract

2013

Ayalon L, Shiovitz-Ezra S, Palgi Y. Associations of loneliness in older married men and women. Aging and Mental Health. 2013;17(1):33-39. doi:10.1080/13607863.2012.702725.
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.
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.
M. Islam A, Alzaid AA, Chowdhury RI, Sultan KS. A generalized bivariate Bernoulli model with covariate dependence. Journal of Applied Statistics. 2013;40:1064-1075. doi:10.1080/02664763.2013.780156.
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
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
Aguila E, Escarce JJ, Leng M, Morales L. Health status and behavioral risk factors in older adult Mexicans and Mexican immigrants to the United States. J Aging Health. 2013;25(1):136-58. doi:10.1177/0898264312468155.
http://www.ncbi.nlm.nih.gov/pubmed/23264441?dopt=Abstract
Angrisani M, Hurd MD, Meijer E, Parker AM, Rohwedder S. Labor Force Transitions at Older Ages: The Roles of Work Environment and Personality. Ann Arbor, The University of Michigan; 2013.