HRS Bibliography

Bibliography Search
Export 2532 results:
Filters: First Letter Of Last Name is M  [Clear All Filters]

Journal Article

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
Clark DO, Stump TE, Tu W, Miller DK. A comparison and cross-validation of models to predict basic activity of daily living dependency in older adults. Medical Care. 2012;50(6):534-9. doi:10.1097/MLR.0b013e318245a50c.
http://www.ncbi.nlm.nih.gov/pubmed/22581013?dopt=Abstract
Goerdten J, Carrière I, Muniz-Terrera G. Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction. Alzheimer's & Dementia: Translational Research & Clinical Interventions. 2020;6(1). doi:10.1002/trc2.12041.
Marshall A, Nazroo J, Feeney K, Lee J, Vanhoutte B, Pendleton N. Comparison of hypertension healthcare outcomes among older people in the USA and England. J Epidemiol Community Health. 2016;70(3):264-70. doi:10.1136/jech-2014-205336.
http://www.ncbi.nlm.nih.gov/pubmed/26598759?dopt=Abstract
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.
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.
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
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
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
McWilliams JM, Afendulis CC, McGuire TG, Landon BE. Complex Medicare Advantage Choices May Overwhelm Seniors—Especially Those With Impaired Decision Making. Health Affairs. 2011;30(9):1786-1794. doi:10.1377/hlthaff.2011.0132.
McWilliams JM, Afendulis CC, McGuire TG, Landon BE. Complex Medicare Advantage Choices May Overwhelm Seniors—Especially Those With Impaired Decision Making. Health Affairs. 2011;30(9):1786-1794. doi:10.1377/hlthaff.2011.0132.
Nho K, Ramanan VK, Horgusluoglu E, et al. Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults. J Alzheimers Dis. 2015;45(4):1197-206. doi:10.3233/JAD-148009.
http://www.ncbi.nlm.nih.gov/pubmed/25690665?dopt=Abstract
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.
Mejia ST, Giasson HL, Smith J, Gonzalez R. Concurrent and enduring associations between married partners' shared beliefs and markers of aging. Psychology and Aging. 2020;35(7):925-936. doi:10.1037/pag0000515.
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.
Mike A, Jackson JJ, Oltmanns TF. The conscientious retiree: The relationship between conscientiousness, retirement, and volunteering. J Res Pers. 2014;52:68-77. doi:10.1016/j.jrp.2014.07.002.
http://www.ncbi.nlm.nih.gov/pubmed/25843985?dopt=Abstract
Hill PL, Turiano NA, Hurd MD, Mroczek DK, Roberts BW. Conscientiousness and longevity: an examination of possible mediators. Health Psychol. 2011;30(5):536-41. doi:10.1037/a0023859.
http://www.ncbi.nlm.nih.gov/pubmed/21604882?dopt=Abstract
Divani AA, Majidi S, Barrett AM, Noorbaloochi S, Luft AR. Consequences of stroke in community-dwelling elderly: the health and retirement study, 1998 to 2008. Stroke. 2011;42(7):1821-5. doi:10.1161/STROKEAHA.110.607630.
http://www.ncbi.nlm.nih.gov/pubmed/21597018?dopt=Abstract
Shnayder MM, Montgomery JR, Abrahamse P, Suwanabol PA. Considering self-reported baseline function and cognition in predicting post-operative complications among older adults. Annals of palliative medicine. 2020. doi:10.21037/apm-20-816.