HRS Bibliography

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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;Doctor of Philosophy.
Wei Y, Heun-Johnson H, Tysinger B. Using dynamic microsimulation to project cognitive function in the elderly population. PLoS One. 2022;17(9):e0274417. doi:10.1371/journal.pone.0274417.
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;Doctor of Philosophy.
Sonnega A, Fisher GG, Helppie-McFall B. Using HRS-ONET Linked Data to Study Subjective and Objective Mismatch Between Work Demands and Capacity at Older Ages. Innovation in Aging. 2021;5(Suppl _1):231–232. doi:https://doi.org/10.1093/geroni/igab046.888.
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. Social Security Bulletin. 2010;70(2):63-82.
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. Santa Monica, CA: RAND Corporation ; 2010.
Jain S, Rosenbaum PR, Reiter JG, et al. Using Medicare claims in identifying Alzheimer's disease and related dementias. Alzheimer's & Dementia. Forthcoming. doi:10.1002/alz.12199.
DeLiema M. Using mixed methods to identify the characteristics of older fraud victims. 2015;3704229:132.
Zhang X. Using Models to Inform Responsive Survey Design. Survey and Data Science. 2023;Doctor of Philosophy:137.
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. J Health Soc Behav. 2016;57(2):200-22. doi:10.1177/0022146516645165.
http://www.ncbi.nlm.nih.gov/pubmed/27284076?dopt=Abstract
Verweij RM, Mills MC, Stulp G, et al. Using Polygenic Scores in Social Science Research: Unraveling Childlessness. Frontiers in Sociology. 2019;4:74. doi:10.3389/fsoc.2019.00074.
St Clair PA, Gaudette É, Zhao H, Tysinger B, Seyedin R, Goldman DP. 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
Chao Y-S, Wu C-J, Wu H-C, et al. Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes. Scientific Reports. 2020;10. doi:10.1038/s41598-020-60869-8.
Hyde JSchimmel, Stapleton D. Using the Health and Retirement Study for Disability Policy Research: A Review. 2016.PDF icon Download PDF (129.91 KB)
Mullen KJ. Using the Health and Retirement Study for Research on the Impact of the Working Conditions on the Individual Life Course. 2021.PDF icon Download PDF (276.76 KB)
Mullen KJ. Using the Health and Retirement Study for Research on the Impact of the Working Conditions on the Individual Life Course. Forum for Health Economics & Policy. 2022. doi:10.1515/fhep-2021-0059.
Benítez-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.
Hayward MD. Using the Health and Retirement Survey to Investigate Health Disparities. 2002.PDF icon Download PDF (218.46 KB)
Ruksakulpiwat S. Using the Self-Regulation Model to Understand Factors Influencing Medication Adherence Among Older Adults Living with Hypertension in the United States Utilizing the Health and Retirement Study Data. Nursing. 2024;Doctor of Philosophy:181.
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.