HRS Bibliography
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Journal Article
Potential Consequences of Raising the Social Security Eligibility Age on Low-Income Older Workers. Journal of Aging and Social Policy. 2000;11(4):15-39. doi:10.1300/J031v11n04_04.
. The Potential Effects of Obesity on Social Security Claiming Behavior and Retirement Benefits. J Gerontol B Psychol Sci Soc Sci. 2018;73(4):723-732. doi:10.1093/geronb/gbw016.
. http://www.ncbi.nlm.nih.gov/pubmed/27044665?dopt=Abstract
Potential Enhancements to Data on Health Insurance, Health Services, and Medicare in the Health and Retirement Study. Forum for Health Economics and Policy. 2011;14(3):Article 3. doi:10.2202/1558-9544.1262.
. On the potential of discrete time survival analysis using latent variable modeling: An application to the study of the vascular depression hypothesis. Structural Equation Modeling: A Multidisciplinary Journal. 2017:1 - 10. doi:10.1080/10705511.2017.1315305.
. Potentially traumatic events and serious life stressors are prospectively associated with frequency of doctor visits and overnight hospital visits. Journal of Psychosomatic Research. 2014;77(2):90-96. doi:10.1016/j.jpsychores.2014.05.009.
. Poverty dynamics, poverty thresholds and mortality: An age-stage Markovian model. PLOS ONE. 2018;13(5):e0195734. doi:10.1371/journal.pone.0195734.
. Practical Applications of Post-Retirement Labor and Non-Retirement Risky Asset Allocation. Practical Applications. 2021;9(2). doi:10.3905/pa.2021.pa473.
. A Practical Cryopreservation and Staining Protocol for Immunophenotyping in Population Studies. Current Protocols in Cytometry. 2018;84(1):e35. doi:10.1002/cpcy.35.
. http://www.ncbi.nlm.nih.gov/pubmed/30040214?dopt=Abstract
Pre-Analytical Variables Influencing Stability of Blood-Based Biomarkers of Neuropathology. Journal of Alzheimer's Disease. Forthcoming. doi:10.3233/JAD-230384.
. Precarious Work in Midlife: Long-Term Implications for the Health and Mortality of Women and Men. Journal of Health and Social Behavior. 2022;63(1):142-158. doi:10.1177/00221465211055090.
. Precarious Work, Marital Quality, and Divorce: A Gendered Dyadic Analysis of Aging Couples. Innovation in Aging. 2020;4(Suppl 1):605 . doi:10.1093/geroni/igaa057.2043.
. Precautionary Savings Against Health Risks: Evidence From the Health and Retirement Study. Research on Aging. 2013;36(2):180-206. doi:10.1177/0164027512473487.
. Precise or Imprecise Probabilities? Evidence from Survey Response on Late-onset Dementia. National Bureau of Economic Research Working Paper Series. 2019;No. 26125. doi:10.3386/w26125.
w26125.pdf (535.1 KB)
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Precise or Imprecise Probabilities? Evidence from Survey Response Related to Late-onset Dementia. Journal of the European Economic Association. 2022;20(1):187-221. doi:10.1093/jeea/jvab023.
. Predicting 10-year alcohol use trajectories among men age 50 years and older. Am J Geriatr Psychiatry. 2013;21(2):204. doi:10.1097/JGP.0b013e3182423b4b.
. Predicting 10-year mortality for older adults. JAMA. 2013;309(9):874-6. doi:10.1001/jama.2013.1184.
. http://www.ncbi.nlm.nih.gov/pubmed/23462780?dopt=Abstract
Predicting Cognitive Impairment and Dementia: A Machine Learning Approach. Journal of Alzheimer's disease : JAD. 2020;75(3):717-728. doi:10.3233/JAD-190967.
Predicting current and future anxiety symptoms in cognitively intact older adults with memory complaints. International Journal of Geriatric Psychiatry. 2019;34(12):1874-1882. doi:10.1002/gps.5204.
. Predicting End-of-Career Transitions for Baby Boomers Nearing Retirement Age. The Career Development Quarterly. 2016;64(2):153 - 168. doi:10.1002/cdq.2016.64.issue-210.1002/cdq.12048.
. Predicting mortality from 57 economic, behavioral, social, and psychological factors. Proceedings of the National Academy of Sciences. 2020. doi:10.1073/pnas.1918455117.
Predicting Nursing Home Admission: Estimates from a seven-year follow-up of a nationally representative sample of older Americans. Alzheimer Disease and Associated Disorders. 2004;18(2):83-89.
Predicting positive well-being in older men and women. Int J Aging Hum Dev. 2010;70(3):181-97. doi:10.2190/AG.70.3.a.
. http://www.ncbi.nlm.nih.gov/pubmed/20503804?dopt=Abstract
Predicting quantity and quality of life with the Future Elderly Model. Health Economics. 2020. doi:10.1002/hec.4169.
. Predicting Receipt of Social Security Administration Disability Benefits Using Biomarkers and Other Physiological Measures: Evidence From the Health and Retirement Study. Journal of Aging and Health. 2019;31(4):555-579. doi:10.1177/0898264317737893.
. http://www.ncbi.nlm.nih.gov/pubmed/29254420?dopt=Abstract
Predicting SNAP Participation in Older Adults: Do Age Categorizations Matter?. Educational Gerontology. 2014;40(12):932-946. doi:10.1080/03601277.2014.912837.
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