HRS Bibliography
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. Invited Commentary: Algorithmic Dementia Classification-Promises and Challenges. Am J Epidemiol. 2023;192(4):535-538. doi:10.1093/aje/kwad003.
http://www.ncbi.nlm.nih.gov/pubmed/36611236?dopt=Abstract
. Association of work-family experience with mid- and late-life memory decline in US women. Neurology. 2020;95(23):e3072-e3080. doi:10.1212/WNL.0000000000010989.
. Modelling and predicting complex patterns of change using growth component models: An application to depression trajectories in cancer patients. European Journal of Developmental Psychology. 2013;10(1):40-59. doi:10.1080/17405629.2012.732721.
. Housing, Mortgages, and Retirement.; 2017.
. PERCEIVED FINANCIAL VULNERABILITY, WEALTH, AND WEALTH CHANGE: THE HEALTH AND RETIREMENT STUDY. Innovation in Aging. 2022;6(Suppl 1):854. doi:10.1093/geroni/igac059.3059.
. Relationship Between Cannabis Use and Immediate, Delayed, and Working Memory Performance Among Older Adults . Psychology. 2021.
. Essays in the Economics of Collective Bargaining and Labor Market Power. Economics. 2022;Ph.D. doi:https://doi.org/10.7916/e73r-pb05.
. Saving, Risk Sharing, and Preferences for Risk. The American Economic Review. 2004;94(4):1169-1182. doi:10.1257/0002828042002516.
. Are Older People Aware of Their Cognitive Decline? Misperception and Financial Decision Making. Bonn, Germany: IZA Institute of Labor Economics; 2020.
. A Common DIO2 Polymorphism and Alzheimer Disease Dementia in African and European Americans. Journal of Endocrinology & Metabolism. 2018;103(5):118-1826.
. Latent variable analyses of age trends of cognition in the Health and Retirement Study, 1992-2004. Psychol Aging. 2007;22(3):525-545. doi:10.1037/0882-7974.22.3.525.
http://www.ncbi.nlm.nih.gov/pubmed/17874952?dopt=Abstract
. Contemporary Modeling of Gene × Environment Effects in Randomized Multivariate Longitudinal Studies. Perspect Psychol Sci. 2010;5(5):606-21. doi:10.1177/1745691610383510.
http://www.ncbi.nlm.nih.gov/pubmed/22472970?dopt=Abstract
. Cognitive Aging and Human Capital. University of Michigan; 2011.
. Adaptive Testing of the Number Series Test Using Standard Approaches and a New Decision Tree Analysis Approach. In: Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences. 1st Editionst ed. Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences. New York, NY: Routledge; 2013. doi:https://doi.org/10.4324/9780203403020.
eBook ISBN9780203403020
. Contemporary Challenges of Longitudinal Measurement Using HRS Data. In: The Sage Handbook of Measurement. The Sage Handbook of Measurement. London: Sage Publications; 2009. doi:https://dx.doi.org/10.4135/9781446268230.n26.
. Adaptive Testing of the Number Series Test Using Standard Approaches and a New Classification and Regression Tree Approach. The Woodcock Munoz Research Foundation Journal. 2009;1.
. Cognition and Economic Outcomes. In: Explorations in the Economics of Aging. Explorations in the Economics of Aging. Chicago: University of Chicago Press; 2011.
. Longitudinal Dynamic Analyses of Cognition in the Health and Retirement Study Panel. Adv Stat Anal. 2011;95(4):453-480. doi:10.1007/s10182-011-0168-z.
http://www.ncbi.nlm.nih.gov/pubmed/25598848?dopt=Abstract
. Health and Retirement Study Imputation of Cognitive Functioning Measures: 1992-2018. Ann Arbor, Michigan: Survey Research Center, University of Michigan; 2022.
Download PDF (1.42 MB)
Download PDF (1.42 MB). Validation of Claims Algorithms to Identify Alzheimer's Disease and Related Dementias. The Journals of Gerontology, Series A . 2022;77(6):1261-1271. doi:10.1093/gerona/glab373.
. Predictors of Smoking Patterns After First Stroke. Social Work in Health Care. 2013;52(5):467.