HRS Bibliography

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Cruz M, Covinsky KE, Widera EW, Stijacic-Cenzer I, Lee SJ. 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
Aschwanden D, Aichele S, Ghisletta P, et al. 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.
Hill NL, Mogle J, Bell TReed, Bhargava S, Wion RK, Bhang I. 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.
Boveda I, Metz AJ. 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.
Puterman E, Weiss J, Hives BA, et al. Predicting mortality from 57 economic, behavioral, social, and psychological factors. Proceedings of the National Academy of Sciences. 2020. doi:10.1073/pnas.1918455117.
Banaszak-Holl J, A. Fendrick M, Foster NL, et al. 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.
Waddell EL, Jacobs-Lawson JM. 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
Leaf DErmini, Tysinger B, Goldman DP, Lakdawalla D. Predicting quantity and quality of life with the Future Elderly Model. Health Economics. 2020. doi:10.1002/hec.4169.
Blue L, Gill L, Faul J, Bradway K, Stapleton D. 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
Geiger JR, Wilks SE, Livermore MM. Predicting SNAP Participation in Older Adults: Do Age Categorizations Matter?. Educational Gerontology. 2014;40(12):932-946. doi:10.1080/03601277.2014.912837.
Choi NG, Bohman TM. Predicting the changes in depressive symptomatology in later life: how much do changes in health status, marital and caregiving status, work and volunteering, and health-related behaviors contribute?. J Aging Health. 2007;19(1):152-77. doi:10.1177/0898264306297602.
http://www.ncbi.nlm.nih.gov/pubmed/17215206?dopt=Abstract
Preisser JS, Moss K, Finlayson TL, Jones JA, Weintraub JA. Prediction Model Development and Validation of 12-Year Incident Edentulism of Older Adults in the United States. JDR Clinical & Translational Research. Forthcoming. doi:10.1177/23800844221112062.
Nye J. Prediction Model for Mortality May Inform Dementia Treatment in Older Adults.
M. Islam A, Chowdhury RI. Prediction of disease status: A regressive model approach for repeated measures. Statistical Methodology. 2010;7(5):520-540. doi:https://doi.org/10.1016/j.stamet.2010.03.001.
Chowdhury RI, M. Islam A. Prediction of Disease Status: Transition Model Approach for Repeated Measures. Pakistan Journal of Statistics . 2014;30(2):181-196.PDF icon PAKJSTAT.pdf (403.25 KB)
Chowdhury RI, M. Islam A. Predictive Models for Trajectory Risks Prediction from Repeated Ordinal Outcomes. Bulletin of the Malaysian Mathematical Sciences Society. Forthcoming. doi:10.1007/s40840-022-01277-1.
Elder TE. The predictive validity of subjective mortality expectations: evidence from the health and retirement study. Demography. 2013;50(2):569. doi:10.1007/s13524-012-0164-2.
Hurd MD, McGarry K. The Predictive Validity of Subjective Probabilities of Survival. The Economic Journal. 2002;112(482).
Lundin A, Leijon O, Vaez M, Hallgren M, Torgén M. Predictive validity of the Work Ability Index and its individual items in the general population. Scandinavian Journal of Public Health. 2017;45(4):350-356. doi:10.1177/1403494817702759.
Levine ME, Harrati A, Crimmins EM. Predictors and implications of accelerated cognitive aging. Biodemography and Social Biology. 2018;64(2):83-101. doi:10.1080/19485565.2018.1552513.
Teresa M. Bell. Predictors and Mediators of Long-term Functional Limitations after Injury in the Older Adult Population. 2014;3619298:145.
Lou Y, Edmonds SW, Jones MP, et al. Predictors of bone mineral density testing among older women on Medicare. Osteoporos Int. 2016;27(12):3577-3586. doi:10.1007/s00198-016-3688-2.
http://www.ncbi.nlm.nih.gov/pubmed/27358177?dopt=Abstract
Beydoun HA, Beydoun MA, Weiss J, et al. Predictors of Covid-19 level of concern among older adults from the health and retirement study. Scientific Reports. 2022;12(1):4396. doi:10.1038/s41598-022-08332-8.
Marden JR. Predictors of Dementia and Memory Decline: Lifecourse Socioeconomic Status and Diabetes. Harvard T.H. Chan School of Public Health. 2016.
Chen T-Y, Janke MC. Predictors of falls among community-dwelling older adults with cancer: results from the health and retirement study. Supportive Care in Cancer. 2014;22(2):479-485.