HRS Bibliography

Bibliography Search
Export 121 results:
Filters: First Letter Of Title is N  [Clear All Filters]

N

Alvarez RVazquez, Melenberg B, vanSoest AHO. Nonparametric Modeling of the Anchoring Effect in an Unfolding Bracket Design. Tilburg, NE, Tilburg University, Center for Economic Research Discussion Paper; 1999.
Haider S, Solon G. Nonrandom Selection in the HRS Social Security Earnings Sample. Santa Monica, CA, RAND Corp.; 2000.
Rutledge MS, Wettstein G. Is nontraditional work at older ages associated with better retirement security?. Boston: Center for Retirement Research at Boston College; 2020.
Ekerdt DJ, Kosloski K, DeViney S. The Normative Anticipation of Retirement by Older Workers. Research on Aging. 2000;22(1):3-22. doi:https://doi.org/10.1177/0164027500221001.
Roush JR, Gombold KL, R. Bay C. Normative Grip Strength Values in Men and Women, Ages 50 to 89 Years' Old. Internet Journal of Allied Health Sciences and Practices. 2018;16(1).
Friedberg L, Owyang MT. Not Your Father's Pension Plan: The Rise of 401(k) and Other Defined Contribution Plans. Federal Reserve Bank of St. Louis, Review. 2002;Jan/Feb.
Tan YV. Novel Applications and Extensions for Bayesian Additive Regression Trees (BART) in Prediction, Imputation, and Causal Inference. Biostatistics. 2018;PhD:201.
Staudinger UM, Yu Y-L, Cheng B. Novel information processing at work across time is associated with cognitive change in later life: A 14-year longitudinal study. Psychology and Aging. 2020;35(6):793–805. doi:10.1037/pag0000468.
L Diaz-Ramirez G, Lee SJ, Smith AK, Gan S, W Boscardin J. A Novel Method for Identifying a Parsimonious and Accurate Predictive Model for Multiple Clinical Outcomes. Computer Methods and Programs in Biomedicine. 2021;204:106073. doi:10.1016/j.cmpb.2021.106073.
Mardon R, Marker DA, Nooney J, et al. Novel Methods and Data Sources for Surveillance of State-Level Diabetes and Prediabetes Prevalence. Preventing Chronic Disease. 2017;14. doi:10.5888/pcd14.160572.
Soohoo MAnne. Novel Methods for Bias Analysis of Time-Varying Uncontrolled Confounding in Epidemiologic Studies of Chronic Diseases. 2022.
Lee SJ, Smith AK, Ramirez-Diaz LG, et al. A Novel Metric for Developing Easy-to-Use and Accurate Clinical Prediction Models: The Time-cost Information Criterion. Medical Care. 2021;59(5):418-424. doi:10.1097/MLR.0000000000001510.
Graham J. Now More Of Us Can Count On More Time Dodging The Dementia Bullet. The Washington Post. https://www.washingtonpost.com/national/health-science/now-more-of-us-can-count-on-more-time-dodging-the-dementia-bullet/2018/05/24/f9f014f8-5f32-11e8-b656-236c6214ef01_story.html?utm_term=.ff1b3f362850. Published 2018.
Weng HH, Bastian LA, Taylor, Jr. DH, Ostbye T. Number of children associated with obesity in middle-aged women and men: results from the health and retirement study. J Womens Health (Larchmt). 2004;13(1):85-91. doi:10.1089/154099904322836492.
http://www.ncbi.nlm.nih.gov/pubmed/15006281?dopt=Abstract
Usdansky ML. Numbers Show Families Grow Closer as They Pull Apart. The New York Times. 2000:D10.
Akamigbo AB. Nursing home placement among older adults: A national study of risk perceptions, access and placement outcomes. 2007.
Mikolas-Peters CJean. Nursing Home Residents' and Family Caregivers' Strategies in Financing the Costs of Long-Term Care. 2001.
Latham K. Nursing Home Stays and the Pace of Severe Disability Onset. Research on Aging. 2011;33(6):637-660. doi:https://doi.org/10.1177/0164027511403160.
Ayyagari P, Wang Y. Nursing Home Use Expectations and Wealth Accumulation Among Older Adults. Madison, WI: Center for Financial Security, University of Wisconsin-Madison; 2020.
Iciaszczyk C. Nursing Homes and Loneliness Among Older Adults in the United States . London, ON, CA: The University of Western Ontario; 2021.
Koreshkova T, Lee M. Nursing Homes in Equilibrium: Implications for Long-term Care Policies. Ann Arbor, MI: Michigan Retirement and Disability Research Center, University of Michigan; 2020.