HRS Bibliography

Bibliography Search
Export 402 results:
Filters: First Letter Of Title is M  [Clear All Filters]

M

R. Konetzka T, He D, Dong J, Nyman JA. Moral hazard and long-term care insurance. The Geneva Papers on Risk and Insurance - Issues and Practice. 2019;44(2):231–251. doi:10.1057/s41288-018-00119-1.
Bajari P, Hong H, Khwaja A. Moral Hazard, Adverse Selection and Health Expenditures: A semiparametric analysis. Cambridge, MA, National Bureau of Economic Research; 2006.
Engelhardt GV, Kumar A. Money on the table: Some evidence on the role of liquidity constraints in 401(k) saving. Economics Letters. 2008;99(2):402-404. doi:https://doi.org/10.1016/j.econlet.2007.09.005.
Miller KEM, White L, Coe NB, Khandelwal N. Money may matter: Financial hardship and its association with satisfaction of care among people living with dementia. Journal of the American Geriatrics Society. Forthcoming. doi:10.1111/jgs.18723.
Greene K. Money Matters: Beyond the Nest Egg. The Wall Street Journal. 2002:R4.
Hurd MD, Martorell P, Delavande A, Mullen KJ, Langa KM. Monetary costs of dementia in the United States. N Engl J Med. 2013;368(14):1326-34. doi:10.1056/NEJMsa1204629.
http://www.ncbi.nlm.nih.gov/pubmed/23550670?dopt=Abstract
Hamman MK, Hochfellner D, Homrighausen P. Mom and Dad We’re Broke, Can You Help? A Comparative Study of Financial Transfers Within Families Before and After the Great Recession. Boston, MA: Center for Retirement Research at Boston College; 2017:2-36.
Sias R, Starks L, Turtle HJ. Molecular Genetics, Risk Aversion, Return Perceptions, and Stock Market Participation. Cambridge, MA: National Bureau of Economic Research; 2020. doi:10.3386/w27638.
Rist PM, Nguyen TT, Whitmer RA, M. Glymour M. Modifiable risk factors for nursing home admission among individuals with high and low dementia risk. Archives of Gerontology and Geriatrics. 2016;65:140-145. doi:10.1016/j.archger.2016.03.016.
Verghese J, Wang C, Allali G, Holtzer R, Ayers E. Modifiable Risk Factors for New-Onset Slow Gait in Older Adults. Journal of the American Medical Directors Association. 2016;17(5):421-425. doi:10.1016/j.jamda.2016.01.017.
Shi Y, W Hooten M, Roberts RO, Warner DO. Modifiable risk factors for incidence of pain in older adults. Pain. 2010;151(2):366-371. doi:10.1016/j.pain.2010.07.021.
http://www.ncbi.nlm.nih.gov/pubmed/20696524?dopt=Abstract
Popa MA. Modifiable factors for disability: Is there potential for reducing racial disparities in disability in older age?. Aging Studies. 2007;Doctor of Philosophy.
Lee JWoo. MODERATION EFFECTS OF SPOUSAL INTERACTIONS ON THE RELATIONSHIP BETWEEN PAIN INTENSITY AND DEPRESSIVE SYMPTOMS IN OLDER ADULTS WITH PAIN. Social Welfare. 2021;Doctor of Philosophy.
Barnes-Farrell JL, Petery GA. The Moderating Role of Employment Status and Gender on Relationships Between Psychological Age and Health: A Two-Wave Cross-Lagged Panel Analysis of Data From the Health and Retirement Study. Ryan LH, ed. Work, Aging and Retirement. 2018;4(1):79-95. doi:10.1093/workar/wax019.
Choi SL, Wilmarth MJ. The Moderating Role of Depressive Symptoms Between Financial Assets and Bequests Expectation. Journal of Family and Economic Issues. 2019;40(3):498–510. doi:10.1007/s10834-019-09621-7.
Li R, Dworkin RH, Chapman BP, et al. Moderate to severe chronic pain in later life: risk and resilience factors for recovery. The Journal of Pain. 2021;22(12):1657-1671. doi:10.1016/j.jpain.2021.05.007.
LaMotte S. Moderate drinking may improve cognitive health for older adults, study says. CNN Health.
Andreyeva T, Sturm R, Ringel JS. Moderate and severe obesity have large differences in health care costs. Obes Res. 2004;12(12):1936-43. doi:10.1038/oby.2004.243.
http://www.ncbi.nlm.nih.gov/pubmed/15687394?dopt=Abstract
Herring D, Paulson D. Moderate alcohol use and apolipoprotein E-4 (ApoE-4): Independent effects on cognitive outcomes in later life. Journal of Clinical and Experimental Neuropsychology. 2018;40(4):326-337. doi:10.1080/13803395.2017.1343803.
http://www.ncbi.nlm.nih.gov/pubmed/28659024?dopt=Abstract
Goulden R. Moderate Alcohol Consumption Is Not Associated with Reduced All-cause Mortality. The American Journal of Medicine. 2016;129(2):180 186.e4. doi:10.1016/j.amjmed.2015.10.013.
Gulshan J, Khan A, M Islam A. Modelling Correlated Bivariate Binary Data: A Comparative View. Bulletin of the Malaysian Mathematical Sciences Society. 2022. doi:10.1007/s40840-022-01290-4.
Mayer A, Geiser C, Infurna FJ, Fiege C. Modelling and predicting complex patterns of change using growth component models: An application to depression trajectories in cancer patients. European Journal of Developmental Psychology. 2013;10(1):40-59. doi:10.1080/17405629.2012.732721.
Marshall GL, Ingraham B, Major J, Kahana E, Stansbury K. Modeling the impact of financial hardship and age on self-rated health and depressive symptoms pre/post the great recession. SSM - Population Health. 2022;18:101102. doi:https://doi.org/10.1016/j.ssmph.2022.101102.
Allman VSuzara. Modeling the Impact of Chronic Disease on Work Life. Nursing. 2019;Ph.D. in D.N.P.
Bound J, Schoenbaum M, Stinebrickner TR, Waidmann TA. Modeling the Effect of Health on Retirement. National Bureau of Economic Research; 2000.