HRS Bibliography

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Ross JS, Bernheim SM, Bradley EH, Teng H-M, Gallo W. Use of Preventive Care by the Working Poor in the United States. Preventive Medicine. 2007;44(3):254-9.
Aragon K, Covinsky KE, Miao Y, Boscardin WJ, Flint L. Use of the Medicare Posthospitalization Skilled Nursing Benefit in the Last 6 Months of Life. Archives of Internal Medicine. 2012;172(20):1573.
Levy HG. User Guide to Health Insurance in the Health and Retirement Study, 2006-2014. Ann Arbor, Michigan: Survey Research Center, Institute for Social Research, University of Michigan; 2017.PDF icon Download PDF (298.12 KB)
Bound J, Stinebrickner TR, Waidmann TA. Using a Structural Retirement Model to Simulate the Effect of Changes to the OASDI and Medicare Programs. University of Michigan; 2005.
Marden JR, Mayeda ER, Walter S, et al. Using an Alzheimer Disease Polygenic Risk Score to Predict Memory Decline in Black and White Americans Over 14 Years of Follow-up. Alzheimer Dis Assoc Disord. 2016;30(3):195-202. doi:10.1097/WAD.0000000000000137.
http://www.ncbi.nlm.nih.gov/pubmed/26756387?dopt=Abstract
Koontz JM. Using Developmental Trajectories of Cognitive Performance and Cardiovascular Risk Factors for the Early Prediction of Alzheimer's Disease and Vascular Dementia in Late Adulthood. Psychology. 2010;Ph.D.:75.
Viroli C. Using factor mixture analysis to model heterogeneity, cognitive structure, and determinants of dementia: an application to the Aging, Demographics, and Memory Study. Statistics in Medicine. 2012;31(19):2110-2122. doi:10.1002/sim.5320.
Patel N. Using generalized estimating equations to analyze alcohol consumption and job displacement among older workers. Biostatistics. 2010;Ph.D.:113.
Raykov T, Zajacova A, Gorelick PB, Marcoulides GA. Using Latent Variable Modeling for Discrete Time Survival Analysis: Examining the Links of Depression to Mortality. Structural Equation Modeling: A Multidisciplinary Journal. 2018;25(2):287-293. doi:10.1080/10705511.2017.1364969.
Nandi A, M Glymour M, Kawachi I, VanderWeele TJ. Using marginal structural models to estimate the direct effect of adverse childhood social conditions on onset of heart disease, diabetes, and stroke. Epidemiology. 2012;23(2):223-32. doi:10.1097/EDE.0b013e31824570bd.
http://www.ncbi.nlm.nih.gov/pubmed/22317806?dopt=Abstract
Meijer E, Karoly LA, Michaud P-C. Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low Income Subsidy Program. RAND Corporation Publications Department Working Papers: 743; 2010.
Meijer E, Karoly LA, Michaud P-C. Using Matched Survey and Administrative Data to Estimate Eligibility for the Medicare Part D Low-Income Subsidy Program. Social Security Bulletin. 2010;70(2):63-82.
DeLiema M. Using mixed methods to identify the characteristics of older fraud victims. 2015;3704229:132.
Brown TH, Richardson LJ, Hargrove TW, Thomas CS. Using Multiple-hierarchy Stratification and Life Course Approaches to Understand Health Inequalities: The Intersecting Consequences of Race, Gender, SES, and Age. Journal of Health and Social Behavior. 2016;57(2):200-222. doi:10.1177/0022146516645165.
St. Clair PA, Gaudette É, Zhao H, Tysinger B, Seyedin R, Goldman D. Using self-reports or claims to assess disease prevalence: It's complicated. Medical Care. 2017;55(8):782-788. doi:10.1097/MLR.0000000000000753.
http://www.ncbi.nlm.nih.gov/pubmed/28617703?dopt=Abstract
Teo AR, Markwardt S, Hinton L. Using Skype to Beat the Blues: Longitudinal Data from a National Representative Sample. American Journal of Geriatric Psychiatry. 2019;27(3):254-262. doi:10.1016/j.jagp.2018.10.014.
http://www.ncbi.nlm.nih.gov/pubmed/30442532?dopt=Abstract
Perozek M. Using subjective expectations to forecast longevity: do survey respondents know something we don't know?. Demography. 2008;45(1):95-113. doi:10.1353/dem.2008.0010.
http://www.ncbi.nlm.nih.gov/pubmed/18390293?dopt=Abstract
Benitez-Silva H, Eren S, Heiland F, Jimenez-Martin S. Using the Health and Retirement Study to Analyze Housing Decisions, Housing Values, and Housing Prices. Cityscape: A Journal of Policy Development and Research. 2010;12(2):149-58.
Cross-Denny B, Robinson MA. Using the Social Determinants of Health as a Framework to Examine and Address Predictors of Depression in Later Life. Ageing International. 2017;42(4):393-412. doi:10.1007/s12126-017-9278-6.
Poterba JM, Rauh J, Venti SF, Wise DA. Utility Evaluation of Risk in Retirement Saving Accounts. In: Wise DA, ed. Analyses in the Economics of Aging. Analyses in the Economics of Aging. Chicago: University of Chicago Press; 2005.
Rideaux T, Beaudreau SA, Fernandez S, O'Hara R. Utility of the Abbreviated Fuld Object Memory Evaluation and MMSE for Detection of Dementia and Cognitive Impairment not Dementia in Diverse Ethnic Groups. Journal of Alzheimers Disease. 2012;31(2):371-386. doi:10.3233/jad-2012-112180.
Rogers MAM, Blumberg N, Heal JM, Langa KM. Utilization of blood transfusion among older adults in the United States. Transfusion. 2011;51(4):710-8. doi:10.1111/j.1537-2995.2010.02937.x.
http://www.ncbi.nlm.nih.gov/pubmed/21087284?dopt=Abstract
Liu CJ, 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.
Keptner KM, Smyth K, Koroukian S, Schluchter M, Furlan A. Utilization of rehabilitation services in stroke: A study utilizing the Health and Retirement Study with linked Medicare claims data. Arch Phys Med Rehabil. doi:10.1016/j.apmr.2019.06.017.
http://www.ncbi.nlm.nih.gov/pubmed/31421093?dopt=Abstract
Banerjee S. Utilization Patterns and Out-of-Pocket Expenses for Different Health Care Services Among American Retirees. Washington, DC, Employee Benefit Research Institute; 2015.