HRS Bibliography

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P

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. 2022. doi:10.1007/s40840-022-01277-1.
Davydow DS, Hough CL, Langa KM, Iwashyna TJ. Presepsis depressive symptoms are associated with incident cognitive impairment in survivors of severe sepsis: a prospective cohort study of older Americans. J Am Geriatr Soc. 2012;60(12):2290-6. doi:10.1111/jgs.12001.
http://www.ncbi.nlm.nih.gov/pubmed/23176643?dopt=Abstract
Grol-Prokopczyk H, Verdes-Tennant E, McEniry M, Ispány M. Promises and Pitfalls of Anchoring Vignettes in Health Survey Research. Demography. 2015;52(5):1703-1728. doi:10.1007/s13524-015-0422-1.
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract
Turcot V, Lu Y, Highland HM, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nat Genet. 2018;50(1):26-41. doi:10.1038/s41588-017-0011-x.
http://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract

R

Byhoff E, Harris TB, Langa KM, Iwashyna TJ. Racial and Ethnic Differences in End-of-Life Medicare Expenditures. Journal of the American Geriatrics Society. 2016;64(9):1789-1797. doi:10.1111/jgs.14263.
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
Marouli E, Graff M, Medina-Gomez C, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017;542(7640):186-190. doi:10.1038/nature21039.
http://www.ncbi.nlm.nih.gov/pubmed/28146470?dopt=Abstract
Prescott HC, Langa KM, Iwashyna TJ. Readmission diagnoses after hospitalization for severe sepsis and other acute medical conditions. JAMA. 2015;313(10):1055-7. doi:10.1001/jama.2015.1410.
http://www.ncbi.nlm.nih.gov/pubmed/25756444?dopt=Abstract
Kwak M, Ingersoll-Dayton B, Burgard SA. Receipt of Care and Depressive Symptoms in Later Life: The Importance of Self-Perceptions of Aging. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences. 2014;69(2):325-335. doi:10.1093/geronb/gbt128.
Nicholas LHersch, Langa KM, Iwashyna TJ, Weir DR. Regional variation in the association between advance directives and end-of-life Medicare expenditures. JAMA. 2011;306(13):1447-53. doi:10.1001/jama.2011.1410.
http://www.ncbi.nlm.nih.gov/pubmed/21972306?dopt=Abstract
Chowdhury RI, M. Islam A. Regressive models for risk prediction of repeated multinomial outcomes: An illustration using Health and Retirement Study data. Biometrical Journal. 2020;n/a. doi:10.1002/bimj.201800101.
Kwak M, Ingersoll-Dayton B. Relationships between negative exchanges and depressive symptoms in older couples: The moderating roles of care and gender. Journal of Social and Personal Relationships. 2019.
Idler E, Blevins J, Kiser M, Hogue C. Religion, a social determinant of mortality? A 10-year follow-up of the Health and Retirement Study. Anglewicz P, ed. PLOS ONE. 2017;12(12):e0189134. doi:10.1371/journal.pone.0189134.
Idler E. Religion and Aging in a Context of Secularization. Innovation in Aging. 2020;4(Suppl 1):657. doi:10.1093/geroni/igaa057.2267.
Bengtson VL, Idler E. Religion and health in the US context of secularization and aging. In: New Dimensions in Spirituality, Religion, and Aging. 1st ed. New Dimensions in Spirituality, Religion, and Aging. Abington: Routledge; 2018:113-133. doi:10.4324/9780429463891.
Prescott HC, Iwashyna TJ. Reply: End-of-Life Treatment Preferences in the Health and Retirement Study. Annals of the American Thoracic Society. 2019;16(4):523. doi:10.1513/AnnalsATS.201810-739LE.
http://www.ncbi.nlm.nih.gov/pubmed/30495969?dopt=Abstract
Dushi I, Iams HM. Reporting accuracy of Social Security benefits and its implications in the Health and Retirement Study. Journal of Economic and Social Measurement. 2017;42(3-4):271-292. doi:10.3233/JEM-180449.
Iekel J. Researchers Say Retirement Plans Unperturbed by COVID.
Sato K, Noguchi H, Inoue K, Kawachi I, Kondo N. Retirement and cardiovascular disease: a longitudinal study in 35 countries. Int J Epidemiol. 2023. doi:10.1093/ije/dyad058.
Ilchuk S. Retirement Decisions of Women and Men in Response to their Own and Spousal Health. 2009;Doctor of Philosophy.
Fraade-Blanar LA, Best R, Iyengar V. Ridesharing can help older people be functionally independent in their homes, communities.