HRS Bibliography

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McAninch EA, Rajan KB, Jo S, Chaker L, al. et. A Common DIO2 Polymorphism and Alzheimer Disease Dementia in African and European Americans. Journal of Endocrinology & Metabolism. 2018;103(5):118-1826.
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rietveld CA, Esko T, Davies G, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci U S A. 2014;111(38):13790-4. doi:10.1073/pnas.1404623111.
http://www.ncbi.nlm.nih.gov/pubmed/25201988?dopt=Abstract
Rodgers WL, Miller B. A comparative analysis of ADL questions in surveys of older people. J Gerontol B Psychol Sci Soc Sci. 1997;52 Spec No:21-36. doi:10.1093/geronb/52b.special_issue.21.
http://www.ncbi.nlm.nih.gov/pubmed/9215355?dopt=Abstract
Ware EB, Mukherjee B, Sun YV, Diez-Roux AV, Kardia SLR. Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the Multi-Ethnic Study of Atherosclerosis. BMC Genet. 2015;16:118. doi:10.1186/s12863-015-0274-0.
http://www.ncbi.nlm.nih.gov/pubmed/26459564?dopt=Abstract
Liao J, Scholes S, Mawditt C, Mejía ST, Lu W. Comparing relationships between health-related behaviour clustering and episodic memory trajectories in the United States of America and England: a longitudinal study. BMC Public Health. 2022;22(1):1367. doi:10.1186/s12889-022-13785-7.
Liao J, Scholes S, Mawditt C, Mejía ST, Lu W. Comparing relationships between health-related behaviour clustering and episodic memory trajectories in the United States of America and England: a longitudinal study. BMC Public Health. 2022;22(1):1367. doi:10.1186/s12889-022-13785-7.
Mahama F. Comparing the Impact Of Biopsychosocial Factors On The Subjective Well-Being (SWB) Of Older Adults 50 Years And Over In The United States. Public Health . 2021;Masters of Public Health.
Miller B, Arpawong TE, Jiao H, et al. Comparing the utility of mitochondrial and nuclear DNA to adjust for genetic ancestry in association studies. Cells. 2019;8(4). doi:10.3390/cells8040306.
http://www.ncbi.nlm.nih.gov/pubmed/30987182?dopt=Abstract
Miller B, Arpawong TE, Jiao H, et al. Comparing the utility of mitochondrial and nuclear DNA to adjust for genetic ancestry in association studies. Cells. 2019;8(4). doi:10.3390/cells8040306.
http://www.ncbi.nlm.nih.gov/pubmed/30987182?dopt=Abstract
Clark DO, Stump TE, Tu W, Miller DK. A comparison and cross-validation of models to predict basic activity of daily living dependency in older adults. Medical Care. 2012;50(6):534-9. doi:10.1097/MLR.0b013e318245a50c.
http://www.ncbi.nlm.nih.gov/pubmed/22581013?dopt=Abstract
Fernandes M, Meijer E, Zamarro G. Comparison between SHARE, ELSA, and HRS. In: First Results from the Survey of Health, Ageing and Retirement in Europe (2004-2007): Starting the longitudinal dimension. First Results from the Survey of Health, Ageing and Retirement in Europe (2004-2007): Starting the longitudinal dimension. Mannhiem, Germany: Mannheim Research Institute for the Economics of Aging (MEA); 2008:23-63.
Goerdten J, Carrière I, Muniz-Terrera G. Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction. Alzheimer's & Dementia: Translational Research & Clinical Interventions. 2020;6(1). doi:10.1002/trc2.12041.
Marshall A, Nazroo J, Feeney K, Lee J, Vanhoutte B, Pendleton N. Comparison of hypertension healthcare outcomes among older people in the USA and England. J Epidemiol Community Health. 2016;70(3):264-70. doi:10.1136/jech-2014-205336.
http://www.ncbi.nlm.nih.gov/pubmed/26598759?dopt=Abstract
Shaw C, Wu Y, Zimmerman SC, et al. Comparison of Imputation Strategies for Incomplete Longitudinal Data in Lifecourse Epidemiology. Am J Epidemiol. 2023. doi:10.1093/aje/kwad139.
Hernandez B, Voll S, Lewis NA, et al. Comparisons of disease cluster patterns, prevalence and health factors in the USA, Canada, England and Ireland. BMC Public Health. 2021;21(1):1674. doi:10.1186/s12889-021-11706-8.
Motro J. Competing demands: Dependent children and parental retirement. 2015;3711314:207.
Chorney HR, Goldman J, Mitchell OS, Santomero AM. The Competitive Performance of Life Insurance Firms in the Retirement Asset Market. University of Pennsylvania; 1997.
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract