HRS Bibliography

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Journal Article

Nguyen TT, Tchetgen Tchetgen EJ, Kawachi I, Gilman SE, Walter S, M. Glymour M. Comparing Alternative Effect Decomposition Methods: The Role of Literacy in Mediating Educational Effects on Mortality. Epidemiology. 2016;27(5):670-6. doi:10.1097/EDE.0000000000000517.
http://www.ncbi.nlm.nih.gov/pubmed/27280331?dopt=Abstract
Miller B, Arpawong TE, Jiao H, et al. Comparing the utility of mitochondrial and nuclear DNA to adjust for genetic ancestry in association studies. Cells. 2019;8(4). doi:10.3390/cells8040306.
http://www.ncbi.nlm.nih.gov/pubmed/30987182?dopt=Abstract
Wang Y-H, Enguidanos S. Comparing Variations in Advance Directives Timing among Older Adults with End-Stage Renal Disease versus Cancer. American Journal of Hospice and Palliative Medicine. Forthcoming. doi:10.1177/10499091221097676.
Shaw C, Wu Y, Zimmerman SC, et al. Comparison of Imputation Strategies for Incomplete Longitudinal Data in Lifecourse Epidemiology. Am J Epidemiol. 2023. doi:10.1093/aje/kwad139.
Gianattasio KZ, Wu B, M. Glymour M, Power MC. Comparison of methods for algorithmic classification of dementia status in the Health and Retirement Study. Epidemiology. 2019;30(2):291-302. doi:10.1097/EDE.0000000000000945.
http://www.ncbi.nlm.nih.gov/pubmed/30461528?dopt=Abstract
Zhang B, Weuve J, Langa KM, et al. Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US. JAMA Intern Med. 2023. doi:10.1001/jamainternmed.2023.3300.
Sonnega A, Helppie-McFall B, Hudomiet P, Willis RJ, Fisher GG. A comparison of subjective and objective job demands and fit with personal resources as predictors of retirement timing in a national U.S. Sample. Work, Aging and Retirement. 2018;4(1). doi:10.1093/workar/wax016.
Langa KM, Larson EB, Crimmins EM, et al. A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012. JAMA Intern Med. 2017;177(1):51-58. doi:10.1001/jamainternmed.2016.6807.
http://www.ncbi.nlm.nih.gov/pubmed/27893041?dopt=Abstract
Hernandez B, Voll S, Lewis NA, et al. Comparisons of disease cluster patterns, prevalence and health factors in the USA, Canada, England and Ireland. BMC Public Health. 2021;21(1):1674. doi:10.1186/s12889-021-11706-8.
Hong I, Pryor L, Wong R, Ottenbacher KJ, Reistetter TA. Comparisons of the Association of Family and Social Factors With Functional Limitations Across the United States, Mexico, and South Korea: Findings From the HRS Family of Surveys. Journal of Aging and Health. 2019. doi:https://doi.org/10.1177/0898264319878549.
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Ben-Avraham D, Karasik D, Verghese J, et al. The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY). 2017;9(1):209-246. doi:10.18632/aging.101151.
http://www.ncbi.nlm.nih.gov/pubmed/28077804?dopt=Abstract
Warner DF, Koroukian SM, Schiltz NK, et al. Complex multimorbidity and breast cancer screening among midlife and older women: The role of perceived need. The Gerontologist. 2019;59(Supplement_1):S77 - S87. doi:10.1093/geront/gny180.
Warner DF, Schiltz NK, Stange KC, et al. Complex multimorbidity and health outcomes in older adult cancer survivors . Family Medicine and Community Health. 2017;5(2):129-138. doi:10.15212/FMCH.2017.0127.
Chao Y-S, Wu C-J, Wu H-C, et al. Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty. Scientific Reports. 2020;10(1). doi:10.1038/s41598-020-58782-1.
Chao Y-S, Wu C-J, Wu H-C, et al. Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty. Scientific Reports. 2020;10(1). doi:10.1038/s41598-020-58782-1.
Wei MY, Luster JE, Chan C-L, Min LC. Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data. BMC Health Services Research. 2020;20. doi:10.1186/s12913-020-05207-4.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2:644–661. doi:10.1038/s43587-022-00248-2.
Hudomiet P, Willis RJ. Computerization, obsolescence and the length of working life. Labour Economics. 2022;77:102005. doi:https://doi.org/10.1016/j.labeco.2021.102005.
Wolinsky FD, Jones MP, Ullrich FA, Lou Y, Wehby GL. The Concordance of Survey Reports and Medicare Claims in a Nationally Representative Longitudinal Cohort of Older Adults. Medical Care. 2014;52(5):462-468. doi:10.1097/MLR.0000000000000120.
Wolinsky FD, Jones MP, Ullrich FA, Lou Y, Wehby GL. The Concordance of Survey Reports and Medicare Claims in a Nationally Representative Longitudinal Cohort of Older Adults. Medical Care. 2014;52(5):462-468. doi:10.1097/MLR.0000000000000120.
Ayanian JZ, Covinsky KE, Landon BE, McCarthy EP, Wee CC, Steinman MA. Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources. Journal of General Internal Medicine. 2011;26(8):920-929. doi:10.1007/s11606-010-1621-5.
Turvey CL, Carney C, Arndt S, Wallace RB, Herzog AR. Conjugal loss and syndromal depression in a sample of elders aged 70 years or older. Am J Psychiatry. 1999;156(10):1596-601. doi:10.1176/ajp.156.10.1596.
http://www.ncbi.nlm.nih.gov/pubmed/10518172?dopt=Abstract