HRS Bibliography

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Hurd MD, McFadden D, Merrill A. Predictors of Mortality among the Elderly. In: Wise DA, ed. Themes in the Economics of Aging. Themes in the Economics of Aging. Chicago: Univ. of Chicago Press; 2001.
Clark DO, Stump TE, Hui SL, Wolinsky FD. Predictors of Mobility and Basic ADL Difficulty Among Adults Aged 70 Years and Older. Journal of Aging and Health. 1998;10(4):422-40.
Castora-Binkley M, Meng H, Hyer K. Predictors of Long-Term Nursing Home Placement Under Competing Risk: Evidence from the Health and Retirement Study. Journal of the American Geriatrics Society. 2014;62(5):913-918. doi:10.1111/jgs.12781.
Theeke LA. Predictors of loneliness in U.S. adults over age sixty-five. Arch Psychiatr Nurs. 2009;23(5):387-96. doi:10.1016/j.apnu.2008.11.002.
http://www.ncbi.nlm.nih.gov/pubmed/19766930?dopt=Abstract
Lee YG, Lown JM, Sharpe DL. Predictors of Holding Consumer and Mortgage Debt among Older Americans. Journal of Family and Economic Issues. 2007;28(2):305. doi:https://doi.org/10.1007/s10834-007-9055-x.
Teresa M. Bell, Wang J, Nolly R, Ozdenerol E, Relyea G, Zarzaur BL. Predictors of functional limitation trajectories after injury in a nationally representative U.S. older adult population. Annals of Epidemiology. 2015;25(12):894.
Nicklett EJoy, Cheng GJianjia, Morris ZA. Predictors of food insecurity among older adults before and during COVID-19 in the United States. Front Public Health. 2023;11:1112575. doi:10.3389/fpubh.2023.1112575.
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.
Marden JR. Predictors of Dementia and Memory Decline: Lifecourse Socioeconomic Status and Diabetes. Harvard T.H. Chan School of Public Health. 2016.
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.
Zheng H, Cagney K, Choi Y. Predictors of cognitive functioning trajectories among older Americans: A new investigation covering 20 years of age- and non-age-related cognitive change. PLoS One. 2023;18(2):e0281139. doi:10.1371/journal.pone.0281139.
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
Teresa M. Bell. Predictors and Mediators of Long-term Functional Limitations after Injury in the Older Adult Population. 2014;3619298:145.
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.
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.
Hurd MD, McGarry K. The Predictive Validity of Subjective Probabilities of Survival. The Economic Journal. 2002;112(482).
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.
Shen X, Yin F, Jiao C. Predictive Models of Life Satisfaction in Older People: A Machine Learning Approach. Int J Environ Res Public Health. 2023;20(3). doi:10.3390/ijerph20032445.
Chowdhury RI, M. Islam A. Predictive Models for Trajectory Risks Prediction from Repeated Ordinal Outcomes. Bulletin of the Malaysian Mathematical Sciences Society. 2022. doi:10.1007/s40840-022-01277-1.
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)
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.
Nye J. Prediction Model for Mortality May Inform Dementia Treatment in Older Adults.
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.
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
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.