HRS Bibliography

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Linsenmeier DM. Essays in Applied Microeconomics. 2003.
Lee S. Essays in health, labor supply, and savings in later life. Economics. 2019;PhD:185.
Lee I. Essays in public economics. 2013;3593892:170.
Li L. Essays on elderly asset management the role of medical expenses and housing. 2013;3591686:150.
Li H-H. Essays on gender differences in occupational choices and cohort analysis of saving adequacy. 2013;3590468:103.
Loxton A. Essays on inter vivos transfers and choice of college major. Economics. 2020;Doctor of Philosophy.
Loxton A. Essays on Inter Vivos Transfers and Early Career Choices. 2020.
Lee KM. Essays on Labor, Health, and Entrepreneurship. Public Policy. 2019;PhD:179.
Luo J. Essays on Optimal Portfolio Choice and Unemployment Insurance. 2007.
Quinones AR. Essays on race/ethnic variations in the dynamics of chronic diseases among middle and old aged Americans. 2010;Ph.D.:139.
Mafi JN, Leng M, Arbanas JCave, et al. Estimated Annual Spending on Aducanumab in the US Medicare Program. JAMA Health Forum. 2022;3(1):e214495 - e214495. doi:https://doi.org/10.1001/jamahealthforum.2021.4495.
Mafi JN, Leng M, Arbanas JCave, et al. Estimated Annual Spending on Aducanumab in the US Medicare Program. JAMA Health Forum. 2022;3(1):e214495 - e214495. doi:https://doi.org/10.1001/jamahealthforum.2021.4495.
Arbanas JCave, Damberg CL, Leng M, et al. Estimated Annual Spending on Lecanemab and Its Ancillary Costs in the US Medicare Program. JAMA Internal Medicine. Forthcoming. doi:10.1001/jamainternmed.2023.1749.
Arbanas JCave, Damberg CL, Leng M, et al. Estimated Annual Spending on Lecanemab and Its Ancillary Costs in the US Medicare Program. JAMA Internal Medicine. Forthcoming. doi:10.1001/jamainternmed.2023.1749.
Heffernan KS, Wilmoth JM, London AS. Estimated Pulse Wave Velocity and All-Cause Mortality: Findings from the Health and Retirement Study. Innovation in Aging. 2022. doi:10.1093/geroni/igac056.
Oronce CIrwin A, Arbanas JCave, Leng M, et al. Estimated wasteful spending on aducanumab dispensing in the U.S. Medicare population: A cross-sectional analysis. Journal of the American Geriatrics Society. Forthcoming. doi:10.1111/jgs.17891.
Oronce CIrwin A, Arbanas JCave, Leng M, et al. Estimated wasteful spending on aducanumab dispensing in the U.S. Medicare population: A cross-sectional analysis. Journal of the American Geriatrics Society. Forthcoming. doi:10.1111/jgs.17891.
Stokes AC, Weiss J, Lundberg DJ, et al. Estimates of the Association of Dementia With US Mortality Levels Using Linked Survey and Mortality Records. JAMA Neurology. 2020;77(12):1543-1550. doi:10.1001/jamaneurol.2020.2831.
Zheng B, Lu Q, Fletcher J. Estimating Causal Effects of Fertility on Life Course Outcomes: Evidence Using A Dyadic Genetic Instrumental Variable Approach.; 2023. doi:10.3386/w30955.
Laitner J, Silverman DS. Estimating Life-Cycle Parameters from Consumption Behavior at Retirement. The University of Michigan, Michigan Retirement Research Center; 2005.
Hayman JA, Langa KM, Kabeto MU, et al. Estimating the cost of informal caregiving for elderly patients with cancer. J Clin Oncol. 2001;19(13):3219-25. doi:10.1200/JCO.2001.19.13.3219.
http://www.ncbi.nlm.nih.gov/pubmed/11432889?dopt=Abstract
Manly JJ, Jones RN, Langa KM, et al. Estimating the Prevalence of Dementia and Mild Cognitive Impairment in the US: The 2016 Health and Retirement Study Harmonized Cognitive Assessment Protocol Project. JAMA Neurology. 2022;79(12):1242-1249. doi:10.1001/jamaneurol.2022.3543.
Manly JJ, Jones RN, Langa KM, et al. Estimating the Prevalence of Dementia and Mild Cognitive Impairment in the US: The 2016 Health and Retirement Study Harmonized Cognitive Assessment Protocol Project. JAMA Neurology. 2022;79(12):1242-1249. doi:10.1001/jamaneurol.2022.3543.
Jin H, Crimmins E, Langa KM, Dey AB, Lee J. Estimating the Prevalence of Dementia in India Using a Semi-Supervised Machine Learning Approach. Neuroepidemiology. 2023;57(1):43-50. doi:10.1159/000528904.
Jin H, Crimmins E, Langa KM, Dey AB, Lee J. Estimating the Prevalence of Dementia in India Using a Semi-Supervised Machine Learning Approach. Neuroepidemiology. 2023;57(1):43-50. doi:10.1159/000528904.